A Multiple Mediator Model of Depression, Dysfunctional Beliefs about Sleep, and Sleep Effort in the Relationship between Psychological Inflexibility and Insomnia in Shift Working Nurses.

The aims of this study were to explore the influence of shift working nursing professionals' psychological inflexibility on their level of insomnia. Additionally, we investigated the mediation effect of depression and sleep-related cognitions on this association. An online survey was conducted among 202 nursing professionals at Asan Medical Center from July to August, 2023. Participants responded to questionnaires including the Insomnia Severity Index (ISI), Acceptance and Action Questionnaire-II (AAQ-II), Dysfunctional Beliefs and Attitudes about Sleep - 16 (DBAS-16), Glasgow Sleep Effort Scale (GSES), Patient Health Questionnaire-9 items (PHQ-9), and the Discrepancy between desired time in bed and desired total sleep time index (DBST index). Pearson's correlation and linear regression were performed to explore the factors predicting ISI scores. Mediation analysis was implemented. Linear regression revealed that insomnia severity was predicted by DBAS-16 (ß = 0.15, p = 0.008), GSES (ß = 0.48, p < 0.001), and PHQ-9 (ß = 0.26, p < 0.001). Mediation analysis showed that the relationship between the psychological inflexibility of shift-working nursing professionals' and insomnia severity was fully mediated by depression, dysfunctional beliefs about sleep, and sleep effort. Psychological inflexibility does not directly influence insomnia severity, but depression, dysfunctional beliefs about sleep, and sleep effort fully mediate the relationship.

How many days are enough? Sleep-wake timing regularity and fragmentation scores change with the number of days included.

The duration of sleep data collection from actigraphy is often influenced by practical factors (e.g. workdays versus non-workdays), but the impact of the variation of duration on outcome measures of interest has not been well explored. This study investigates the effect of the duration of actigraphy measurement on non-parametric measures of 24-hr sleep-wake rhythms. We examined regularity inter-daily stability and fragmentation intra-daily variation over 14 days or the first 7 days in participants (n = 41) undergoing evaluation for sleep disorders. Bland-Altman plots assessed the impact of fewer than 14 or 7 days, respectively, on inter-daily stability and intra-daily variation scores. Intra-daily variation values were also calculated for each day and compared with the 14-day intra-daily variation. Compared with the entire 14-day period, using shorter durations (< 7 days) led to a higher estimated bias and increased variance in the limits of agreement for inter-daily stability. Intra-daily variation values showed increased variation in the limits of agreement with fewer days. Similar trends were observed when comparing shorter actigraphy periods 3 or 5 days-7 days. Daily intra-daily variation calculations indicate that individuals with higher daily fragmentation experienced more pronounced day-to-day fragmentation and greater variability in the degree of fragmentation, in a linear association between daily intra-daily variation standard deviation and 14-day intra-daily variation values. Our data indicate that a minimum of 7 full days of actigraphy is recommended to reduce measurement errors, and intra-daily variation and inter-daily stability derived from less than 7 days cannot be compared with those from more than 7 days without significant error.

Validation of the Karolinska Sleepiness Scale in Korean.

BACKGROUND AND PURPOSE: The Karolinska Sleepiness Scale (KSS) is widely used for assessing current level of sleepiness, but it has not been validated in South Korea. This study aimed to validate the KSS using the Stanford Sleepiness Scale (SSS), polysomnography (PSG), and electroencephalography (EEG). METHODS: The sample consisted of 27 adult participants in this study aged 40.5±7.7 years (mean±standard deviation) and included 22 males. They completed questionnaires and underwent EEG recording and overnight PSG. The KSS was completed from 18:00 to 24:00 every 2 hours and following PSG (at 07:00). KSS scores changed over time and in particular increased with the time since waking, with the score peaking at 24:00. RESULTS: Convergent validity of the KSS was verified by performing a Spearman correlation analysis between the KSS and SSS (r=0.742, p<0.01). Concurrent validity of the KSS was verified by performing a Spearman correlation analysis between the KSS administered before sleep and the sleep onset latency measured using PSG (r=-0.456, p<0.05). Alpha waves were measured 5 minutes before administering the KSS, and the KSS scores were compared with these alpha waves. There were no significant correlations observed between the KSS scores and alpha waves measured in the left occipital area (O1), left frontal area (F3), or left central area (C3). In addition, Spearman correlation analyses of the difference between KSS scores and alpha waves measured at O1, F3, and C3 produced no significant results. CONCLUSIONS: This study verified the convergent validity and concurrent validity of the KSS, and confirmed the capabilities of this scale in assessing sleepiness changes over time.

Association of nightmares with cardio-cerebrovascular disease, hypertension and hyperlipidemia in older adults: A population-based cross-sectional study.

OBJECTIVE: This cross-sectional study investigated the relationship of nightmares with cardio-cerebrovascular disease (CVD), hypertension and hyperlipidemia which are major preceding diseases of CVD in older adults. METHODS: Participants (n = 2824; mean age 63.6 ± 6.6 years, females 49.3%) completed the Disturbing Dream and Nightmare Severity Index (DDNSI), which was used to divide the sample into either the Nightmare or Non-Nightmare group (cut-off score ≥ 10). Demographic information, history of CVD (cerebrovascular disease, myocardial infarction, congestive heart failure, coronary artery disease, and arrhythmia), hypertension, hyperlipidemia, and self-report questionnaires about stress (Perceived Stress Scale), depression (Beck Depression Inventory), sleep quality (Pittsburgh Sleep Quality Index), and insomnia symptoms were also collected. RESULTS: Among the sample, 379 participants (13.4%) reported experiencing nightmares more than once a year, and 73 participants (2.6%) were classified as having nightmare disorder based on DDNSI scores (≥10). 11.3% of participants (n = 319) reported having more than one CVD. Approximately half of the participants reported a history of hypertension (52.1%, n = 1471) and hyperlipidemia (47.7%, n = 1346). Logistic regression analysis indicated the Nightmare group was 2.04 times at higher risk for hyperlipidemia (OR = 2.04, 95% CI 1.22-3.40, p = .006) after controlling for covariates compared to the Non-Nightmare group. Although non-significant, there was a trend toward a higher risk of hypertension in the Nightmare group (OR = 1.67, 95% CI 0.99-2.84, p = .056). CONCLUSIONS: Results of this study indicate frequent nightmares in older adults may be associated with hyperlipidemia, which are risk factors for CVD. Further studies are needed to explore nightmares' directionality and health consequences in an aging population.

Effects of paternal involvement in nighttime childcare on child and maternal sleep: exploring the roles of relationship satisfaction and maternal competence about child sleep.

STUDY OBJECTIVES: Supportive coparenting between couples has been shown to have positive effects on the dyadic relationship, child development, and parental and child sleep. This study aimed to investigate the association between paternal involvement in nighttime childcare and child and maternal sleep, while exploring relationship satisfaction and maternal competence about child sleep as mediators. METHODS: The sample consisted of 290 mothers (mean age ± standard deviation = 34.8 ± 4.1) with children (50.7% male) aged 6-36 (mean ± standard deviation = 22.7 ± 8.6) months. Participants reported their paternal involvement in nighttime childcare and completed the following questionnaires: Brief Infant Sleep Questionnaire-Revised, Dyadic Adjustment Scale-4 items, and the Insomnia Severity Index. Path analysis was conducted to examine the impact of paternal involvement on child and maternal sleep through relationship satisfaction and maternal competence. RESULTS: Among the sample, 74.8% responded that paternal participation in nighttime childcare was less than 25%. Path analysis showed that paternal involvement had a significant direct effect on maternal insomnia (ß = -.15, P < .05) but not on child sleep. Direct pathways from paternal involvement to relationship satisfaction (ß = .17), from relationship satisfaction to maternal competence (ß = .19), from maternal competence to child's sleep (ß = -.57), and from child sleep to maternal insomnia (ß = .48) were significant (P < .01). Relationship satisfaction mediated the associations between paternal involvement and child (ß = -.08, P < .05) and maternal (ß = -.04, P < .05) sleep. CONCLUSIONS: Paternal nighttime childcare involvement was low in South Korea. The results highlight the importance of considering paternal supportive participation and relationship satisfaction in future research on child and maternal sleep. CITATION: Song J, Jang E, Astbury L, Bei B, Suh S. Effects of paternal involvement in nighttime childcare on child and maternal sleep: exploring the roles of relationship satisfaction and maternal competence about child sleep. J Clin Sleep Med. 2024;20(8):1241-1250.

Fatigued but not sleepy? An empirical investigation of the differentiation between fatigue and sleepiness in sleep disorder patients in a cross-sectional study.

OBJECTIVE: Sleepiness and fatigue are common complaints among individuals with sleep disorders. The two concepts are often used interchangeably, causing difficulty with differential diagnosis and treatment decisions. The current study investigated sleep disorder patients to determine which factors best differentiated sleepiness from fatigue. METHODS: The study used a subset of participants from a multi-site study (n = 606), using a cross-sectional study design. We selected 60 variables associated with either sleepiness or fatigue, including demographic, mental health, and lifestyle factors, medical history, sleep questionnaires, rest-activity rhythms (actigraphy), polysomnographic (PSG) variables, and sleep diaries. Fatigue was measured with the Fatigue Severity Scale and sleepiness was measured with the Epworth Sleepiness Scale. A Random Forest machine learning approach was utilized for analysis. RESULTS: Participants' average age was 47.5 years (SD 14.0), 54.6% female, and the most common sleep disorder diagnosis was obstructive sleep apnea (67.4%). Sleepiness and fatigue were moderately correlated (r = 0.334). The model for fatigue (explained variance 49.5%) indicated depression was the strongest predictor (relative explained variance 42.7%), followed by insomnia severity (12.3%). The model for sleepiness (explained variance 17.9%), indicated insomnia symptoms was the strongest predictor (relative explained variance 17.6%). A post hoc receiver operating characteristic analysis indicated depression could be used to discriminate fatigue (AUC = 0.856) but not sleepiness (AUC = 0.643). CONCLUSIONS: The moderate correlation between fatigue and sleepiness supports previous literature that the two concepts are overlapping yet distinct. Importantly, depression played a more prominent role in characterizing fatigue than sleepiness, suggesting depression could be used to differentiate the two concepts.

Validating the Dutch Eating Behavior Questionnaire for Children (DEBQ-C) among Korean children and adolescents with high weight.

BACKGROUND: Using reliable measurement tools is becoming increasingly important as the prevalence of obesity among children increases in Korea. The Dutch Eating Behavior Questionnaire for Children (DEBQ-C) measures three eating behaviors associated with overeating. This study aims to validate the DEBQ-C for use among Korean children and adolescents with high body weight. It examines the psychometric features of the Korean translation of the DEBQ-C and investigates the relationship between the subscale scores of the DEBQ-C and the weight status of participants (categorized into overweight, obese, and morbidly obese). METHODS: A total of 233 children and adolescents (mean age: 11.4 ± 1.6 years) completed the questionnaire. The study verified the factor structure of the DEBQ-C using confirmatory factor analysis (CFA) and estimated its internal consistency with Cronbach's alpha. For convergent validity, it employed Pearson's correlation coefficient to assess relationships between the three eating behaviors of the DEBQ-C and the number of food addiction symptoms of the Yale Food Addiction Scale for Children (YFAS-C). Lastly, it examined the relationship between DEBQ-C scores and weight status via multinomial logistic regression analysis. RESULTS: The three-factor model demonstrated goodness-of-fit (χ2 = 253, df = 167, χ2/df = 1.515, p < 0.001, CFI = 0.944; TLI = 0.937; RMSEA = 0.047). The internal consistency of the three eating behaviors was also satisfactory (Cronbach's alpha = 0.707-0.890). The emotional and external eating subscales of the DEBQ-C were positively correlated with the number of symptoms of food addiction of the YFAS-C. Emotional (OR: 2.008; 95% CI 1.973-2.043) and external (OR: 2.074; 95% CI 2.029-2.119) eating were positively associated with obesity status. CONCLUSION: The results suggest that the Korean version of the DEBQ-C is suitable for the examination of problematic eating behaviors in Korean children and adolescents with high body weight.

The proportion of children and adolescents with obesity in Korea is increasing. Thus, the availability of a tool that can reliably identify problematic eating behavior linked to obesity would assist with prevention and management efforts. The Dutch Eating Behavior Questionnaire for Children (DEBQ-C) measures three types of overeating behavior in children that influence weight gain. This study examines the suitability of the Korean translation of the DEBQ-C questionnaire for use in studies on Korean children and adolescents with high body weight. The results of a survey on 233 adolescents (average age: 11.4 ± 1.6 years) suggest that the DEBQ-C translation would be useful in investigating overeating behavior in Korean children and adolescents. In addition, the findings suggest that eating in response to emotions and external cues are likely to play a role in the development of obesity among children and adolescents.

A randomized controlled trial of a behavioral intervention for decreasing bedtime procrastination using a wait-list control group in a non-clinical sample of young adults.

STUDY OBJECTIVES: Bedtime Procrastination (BP) is defined as the behavior of going to bed later than intended, without external reasons. This study is a randomized controlled trial aiming to establish efficacy of a behavioral intervention to decrease BP in a non-clinical sample. METHOD: This was an open-label trial that was conducted in sixty participants (mean age 21.33 ± 2.35 years, 86.7% females) without insomnia or psychopathology who endorsed frequent BP. They were randomized to either the treatment group (n = 32) or wait-list control group (n = 28). Participants completed the Bedtime Procrastination Scale (BPS), the Epworth Sleepiness Scale (ESS), the Insomnia Severity Index (ISI), Center for Epidemiologic Studies Depression Scale (CES-D), Morningness-Eveningness Questionnaire (MEQ), and a weekly sleep diary. Functional analysis was conducted to investigate the function of BP. Linear mixed models were used for analyses. RESULT: The treatment group showed significant improvement on the BPS (35.56% decrease, d = 2.19, bedtime procrastination duration based on the sleep diary (-46.29 min, d = 1.22), and sleep efficiency (5.70% increase, d = 1.25) compared to the wait-list control group following the intervention. There were also significant reductions in time spent from bedtime to lights out, and wake time to time out of bed, in addition to improvements in ISI and ESS scores in the treatment group compared to the control group. Functional analysis results indicated emotional regulation (31.3%), compensation (26.5%), and social interaction and belongingness (18.1%) as the most frequent functions of bedtime procrastination. CONCLUSION: This study shows promising results for a behavioral intervention targeting BP and sleep. In addition, this study demonstrated various functions of BP as a sleep-interfering behavior. We expect that these findings could be used in future studies and clinical settings to decrease BP.

Identifying the Bridge Between Anxiety Response to COVID-19 and Depression Symptoms in General Population: A Network Analysis.

BACKGROUND: Previous studies have suggested links between anxiety response to the novel coronavirus (COVID-19) and depression symptoms in general population. However, a symptom-level investigation has not been reported. OBJECTIVE: This study aimed to use network analysis to identify central symptoms and bridge symptoms that link COVID-19 anxiety and depression. METHODS: Data from 1788 participants were analyzed. Coronavirus anxiety and depression symptoms were measured using the Stress and Anxiety to Viral Epidemics-6 Items Scale and the Patient Health Questionnaire-9, respectively. Network analysis was performed using R. RESULTS: The results revealed 'thoughts of suicide or self-harm' from Patient Health Questionnaire-9 and 'worry about others avoiding me' from Stress and Anxiety to Viral Epidemics-6 Items Scale as bridge symptoms. Findings suggest direct relationship between fear of social isolation and thoughts of suicide or self-harm. 'Feeling tired with little energy' and 'trouble concentrating' are strongly linked to 'thoughts of suicide or self-harm', suggesting these symptoms as risk factors for suicidal or self-injurious thoughts during the pandemic. CONCLUSIONS: The findings suggest fear of social isolation as a risk factor for developing thoughts of suicide or self-harm. These results should be taken into account during evaluation of risk of suicide or mental health interventions for the pandemic.

Randomized controlled trial of cognitive behavioral therapy for perinatal insomnia: postpartum outcomes.

STUDY OBJECTIVES: This study aimed to assess the effectiveness of cognitive behavioral therapy for insomnia (CBTI) during the postpartum period as part of a larger randomized controlled trial of CBTI on perinatal insomnia. METHODS: A total of 179 women of 18-30 gestational weeks with insomnia disorder were randomly assigned to CBTI or an active control (CTRL) therapy. Participants were assessed between 18 and 32 weeks of pregnancy at baseline, after the intervention during pregnancy, and at 8, 18, and 30 weeks postpartum. The primary outcomes were Insomnia Severity Index (ISI) scores and total awake time, defined as minutes awake during the sleep opportunity period, assessed with actigraphy and sleep diaries. Included in the analyses were women who provided data for at least 1 of 3 postpartum assessments (68 in CBTI; 61 in CTRL). RESULTS: Piecewise mixed-effects models revealed a main effect reflecting reduction in ISI scores from 8-18 weeks postpartum (P = .036) and a nonsignificant increase from 18-30 weeks; significant effects for group allocation were present only in week 30 (P = .042). CTRL participants reported significantly longer time awake, excluding time spent caring for the infant, at each postpartum assessment; time awake at night caring for the infant did not differ between groups. There was no significant group difference in the postpartum trajectory of actigraphy-measured total awake time, the two diary measures of time awake (P values > .05). CBTI participants with at least 50% reduction in ISI during pregnancy had consistently stable ISI scores (mean < 6) during the postpartum period; those in the CTRL group had variable ISI scores over time with large individual differences. CONCLUSIONS: For women with insomnia disorder during pregnancy, CBTI initiated during pregnancy conferred postpartum benefits in terms of wakefulness after sleep onset (excluding time spent caring for the infant) and insomnia severity, though the latter emerged only later in the postpartum period. These findings underscore the importance of treating insomnia during pregnancy, a conclusion that is further supported by our finding that pregnant women who responded to insomnia treatment during pregnancy experienced better sleep in the postpartum period. CLINICAL TRIAL REGISTRATION: Registry: Clinicaltrials.gov; Name: Treatment for Insomnia During Pregnancy; URL: https://www.clinicaltrials.gov/ct2/show/NCT01846585; Identifier: NCT01846585. CITATION: Manber R, Bei B, Suh S, et al. Randomized controlled trial of cognitive behavioral therapy for perinatal insomnia: postpartum outcomes. J Clin Sleep Med. 2023;19(8):1411-1419.

Can adding personalized rule-based feedback improve the therapeutic effect of self-help digital cognitive behavioral therapy for insomnia in young adults?

INTRODUCTION: Cognitive-behavioral therapy for insomnia (CBT-I) is recommended as the first-line treatment for insomnia, but low accessibility and relatively high cost limits the dissemination of the treatment. Several forms of digital CBT-I have been developed to increase the accessibility and shown to be effective; however, the treatment effect may be restricted by the lack of interaction within the treatment. The current study examines whether the therapeutic effects of self-help digital CBT-I could be enhanced by adding simple rule-based personalized feedback. METHOD: Ninety-two young adults with self-reported insomnia were randomly assigned to three groups: a self-help group (SH, n = 31), who received an eight-session email-delivered CBT-I program; a feedback group (FB, n = 31), who went through the same CBT-I program with personalized feedback; and a waitlist group (WL, n = 30). The Insomnia Severity Index (ISI) was used as the primary outcome measure, and the 16-item version of the Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS-16), Sleep Hygiene Practice Scale (SHPS), and sleep diary were used as the secondary outcome measures. Treatment satisfaction and adherence were also compared between the treatment groups. RESULTS: Both the SH and FB groups showed significantly more improvements in insomnia severity, sleep-related beliefs, and sleep hygiene behaviors than the WL group. Sleep onset latency and sleep efficiency in the sleep diary were also significantly improved after treatment. None of these effects significantly differed between the two treatment groups. Nonetheless, participants in the FB group reported higher treatment satisfaction than those in the SH group. CONCLUSION: This study supports the effectiveness of email-delivered self-help CBT-I for young adults with insomnia. Furthermore, while adding simple personalized feedback may not have an additional effect on sleep per se, it can enhance treatment satisfaction. This simple intervention shows promise in addressing sleep disturbance in young adults.

Validation of the Parental Understanding and Misperceptions about BAby's Sleep Questionnaire using auto-videosomnography.

BACKGROUND: Previous studies have suggested that parental cognitions about child's sleep may be an important factor underlying pediatric sleep problems. The current study aimed to (a) develop an assessment tool measuring parental understanding and misperceptions about baby's sleep (PUMBA-Q); (b) validate the questionnaire using self-report and objective sleep measures. METHODS: There were 1,420 English-speaking caregivers (68.0% mothers, 46.8% of children being females, mean age 12.3 months), who has completed online self-reported questionnaires. The PUMBA-Q, which was developed for this study, Dysfunctional Beliefs and Attitudes about Sleep (DBAS) and Maternal Cognitions about Infant Sleep Questionnaire (MCISQ) were included to evaluate participant's thoughts on their own or child's sleep. Insomnia Severity Index (ISI) was collected to access participant's subjective insomnia severity. Brief Infant Sleep Questionnaire-Revised (BISQ-R) was used to assess parental-reported child sleep. Auto-videosomnography was used to record child's sleep. RESULTS: Exploratory factor analysis indicated the best fit with a 4-factor model using 23 items (RMSEA = .039). The four subscales were labeled: (a) Misperceptions about parental intervention; (b) Misperceptions about feeding; (c) Misperceptions about child's sleep; and (d) General anxiety of parents. Internal consistency was adequate (Cronbach's alpha = .86). PUMBA-Q scores were significantly associated with MCISQ (r = .64, p < .01), DBAS (r = .36, p < .01), ISI (r = .29, p < .01), BISQ-R (r = .-49, p < .01), objective child's total sleep time (r = -.24, p < .01) and objective number of parental nighttime visits (r = .26, p < .01). CONCLUSIONS: The results demonstrated that PUMBA-Q 23 is a valid assessment tool for parental cognitions of child sleep. The link between parental cognitions and child sleep highlights the importance of managing parental cognitions about child sleep when treating pediatric sleep problems.

Differences in Treatment Effects of Cognitive-behavioral Therapy for Insomnia Based on Sleep Reactivity: A Preliminary Study.

INTRODUCTION: Sleep reactivity is the trait-like degree to which stress disrupts sleep, resulting in difficulty falling and staying asleep. Although previous studies have suggested that individuals who have high sleep reactivity may be resistant to cognitive-behavioral therapy for insomnia (CBT-I) effects, there have been no studies that have investigated this empirically. This study explored differential treatment responses in CBT-I based on sleep reactivity levels. MATERIAL AND METHOD: Participants for this study were nineteen insomnia patients who met DSM-5 criteria for insomnia disorder. All participants received four weekly sessions of structured cognitive-behavioral therapy for insomnia (CBT-I). Individuals completed the Insomnia Severity Index (ISI), Korean version of Center for Epidemiologic Studies Depression Scale-Revised (K-CESD-R), Ford Insomnia Response to Stress Test (FIRST), Dysfunctional Beliefs and Attitudes about Sleep Scale-16 (DBAS-16), the Daily Inventory of Stressful Events (DISE) and a sleep diary. Participants were classified into two groups based on sleep reactivity level (high and low sleep reactivity). RESULT: Following treatment, significant changes were found for ISI, K-CESD-R, DBAS-16 and FIRST scores, sleep onset latency, wake after sleep onset, sleep efficiency, number of awakenings, sleep quality and feeling refreshed upon awakening in both groups. Improvements in sleep efficiency was lower in the high sleep reactivity group compared to the low sleep reactivity group. No differences in ISI, K-CESD-R, DBAS-16 scores, and stress event frequency during the treatment duration were found between groups. CONCLUSION: These findings suggest that sleep reactivity level may be an important factor that affects treatment outcome of CBT-I. Furthermore, the results may suggest that individual response to stress events are more important than the stressor itself.

Predictors of dropout in university students participating in an 8-week e-mail-based cognitive-behavioral therapy for insomnia intervention.

PURPOSE: We conducted an exploratory study to identify risk factors of dropout in an 8-week e-mail-based cognitive-behavioral therapy for insomnia (REFRESH) to improve sleep among university students with insomnia symptoms. METHODS: University and graduate students in Hong Kong and Korea who scored higher than 10 on the Insomnia Severity Index participated in REFRESH. RESULTS: Of 158 participants from Hong Kong (n = 43) and Korea (n = 115), 90 (57%) did not complete all 7 sessions, while 52 of 90 (57.8%) dropped out prior to the fourth session. ROC analysis was conducted on the entire sample of 158 participants with intervention completion vs. dropout (non-completion) as the outcome variable. Predictors of dropout were wake time after sleep onset (WASO) < 7.1 min on the weekly sleep diary and expectations for sleep (a subscale of dysfunctional beliefs and attitudes about sleep; DBAS) < 18 at baseline. CONCLUSIONS: These findings indicate that shorter WASO and less expectations for sleep at baseline were associated with risk of dropout from e-mail delivered self-help CBT-I-based intervention. Our results highlight the importance of identifying and tailoring treatment formats to students based on their presenting sleep characteristics.

Sleep and affect: A conceptual review.

Everyday experience suggests that sleep and affect are closely linked, with daytime affect influencing how we sleep, and sleep influencing subsequent affect. Yet empirical evidence for this bidirectional relationship between sleep and affect in non-clinical adult samples remains mixed, which may be due to heterogeneity in both construct definitions and measurement. This conceptual review proposes a granular framework that deconstructs sleep and affect findings according to three subordinate dimensions, namely domains (which are distinct for sleep and affect), methods (i.e., self-report vs. behavioral/physiological measures), and timescale (i.e., shorter vs. longer). We illustrate the value of our granular framework through a systematic review of empirical studies published in PubMed (N = 80 articles). We found that in some cases, particularly for sleep disturbances and sleep duration, our framework identified robust evidence for associations with affect that are separable by domain, method, and timescale. However, in most other cases, evidence was either inconclusive or too sparse, resulting in no clear patterns. Our review did not find support for granular bidirectionality between sleep and affect. We suggest a roadmap for future studies based on gaps identified by our review and discuss advantages and disadvantages of our granular dimensional framework.

Validation of the Korean version of the Metacognitions Questionnaire-Insomnia (MCQ-I) scale and development of shortened versions using the random forest approach.

We aimed to validate a Korean version of the Metacognitions Questionnaire-Insomnia (MCQ-I) and develop two shortened versions of the MCQ-I by applying the Random Forest (RF) algorithm. A total of 310 participants responded through an online survey, during April 3-6, 2021, which included rating scales such as the Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), Patient Health Questionnaire-9 (PHQ-9), and the Hospital Anxiety and Depression Scale (HADS), as well as the MCQ-I. After validating the scale, we developed two shortened versions by applying the RF. Finally, we explored the psychometric properties of the shortened versions. The Korean version of the MCQ-I showed good internal consistency based on a Cronbach's alpha of 0.96. Factor analyses showed good model fits for the single structure of the MCQ-I. From the results of the RF, 6 of the 60 items of the MCQ-I were sufficient to distinguish between people with MCQ-I scores above the cut-off value and the rest with high accuracy (AUC>0.97), leading to the 6-item (MCQI-6) version of the MCQ-I. Furthermore, we have also developed a 14-item (MCQI-14) version of the MCQ-I with higher accuracy (AUC>0.98). Both versions were reliable based on their internal consistency (alpha = 0.843 and 0.912), and confirmatory factor analysis showed good model fits for both shortened versions. In addition, good convergent validity of both shortened versions with insomnia, sleep quality, depression, and anxiety were observed. The Korean version of the MCQ-I and two shortened versions (MCQI-6, and MCQI-14) were useful, reliable, and valid tools to evaluate the role of metacognitive beliefs in sleep problems among the Korean population.

The Psychometric Properties of the French-Canadian Stress and Anxiety to Viral Epidemics-6 Scale for Measuring the Viral Anxiety of the General Population During the COVID-19 Pandemic.

Objective: This study examined the psychometric properties of the French-Canadian version of the Stress and Anxiety to Viral Epidemics-6 items (SAVE-6) scale for assessing the anxiety response to the viral epidemic among the general population in Quebec, Canada. Methods: A total of 590 participants responded to a confidential online survey between September 28 and October 18, 2020. Confirmatory Factor Analysis (CFA) was conducted to explore the factor structure of the scale. Psychometric properties were assessed using the Item Response Theory (IRT) approach. To explore the convergent validity, a Pearson correlation analysis between the SAVE-6 scale and the depression (Patient Health Questionnaire-2, PHQ-2) or anxiety subscale (Generalized Anxiety Disorder-2, GAD-2) of the Patient Health Questionnaire-4 items scale was conducted. Findings: The French-Canadian version of the SAVE-6 scale was clustered into a single factor. The CFA of the SAVE-6 scale showed a good model fit (CFI = 0.985, TLI = 0.976, RMSEA = 0.051, RSMR = 0.048), and the multi-group CFA revealed that the SAVE-6 scale can measure anxiety response in the same way across gender or the presence of elevated depressive and anxiety symptoms. It showed good internal consistency (Cronbach's alpha = 0.76, McDonald's Omega = 0.77) and significant correlation with the PHQ-2 score and GAD-2 score. The IRT model suggested the efficiency in discrimination among individuals in this latent trait. Conclusion: The French-Canadian version of the SAVE-6 scale is a valid and reliable rating scale, which can measure the general population's anxiety response to the viral epidemic.

How Does E-mail-Delivered Cognitive Behavioral Therapy Work for Young Adults (18-28 Years) with Insomnia? Mediators of Changes in Insomnia, Depression, Anxiety, and Stress.

This study examined whether cognitive behavioral therapy (CBT) for insomnia (CBT-I) improved insomnia severity, by changing sleep-related mediating factors. It also examined whether an improvement in insomnia led to enhanced mental health. This study was a secondary analysis of a randomized controlled trial of e-mail-delivered CBT-I for young adults with insomnia. The participants were randomized to either CBT-I or self-monitoring. The mental health-related measures were depression, anxiety, and stress. The sleep-related mediating factors were sleep hygiene practices, dysfunctional beliefs, sleep reactivity, and pre-sleep arousal. A total of 41 participants, who completed all the sessions (71% females; mean age 19.71 ± 1.98 years), were included in the analysis. The hierarchical multiple regression analysis showed that 53% of the variance in the improvements in insomnia severity was explained by the treatment group (ß = −0.53; ΔR2 = 0.25; p < 0.01) and the changes in sleep reactivity (ß = 0.39; ΔR2 = 0.28; p < 0.05). Moreover, the mediation analysis showed that the reductions in depression and stress were explained by the changes in insomnia severity; however, anxiety symptoms were not reduced. CBT-I for young adults suggested that sleep reactivity is a significant mediator that reduces insomnia severity, and that the alleviation and prevention of depression and stress would occur with the improvement in insomnia.

Evaluation of a Brief Sleep Intervention Designed to Improve the Sleep, Mood, and Cognitive Performance of Esports Athletes.

This study evaluated a brief sleep intervention designed to improve the sleep, mood, and cognitive performance of professional electronic sports (esports) athletes from three major esports regions (i.e., Asia, North America, and Oceania). Fifty-six esports athletes from South Korea (N = 34), the United States (N = 7), and Australia (N = 15) completed the study. Participants completed an initial 2-week pre-intervention phase to establish a baseline, followed by a 2-week intervention phase that involved a group sleep education class, 1:1 session with a trained clinical psychologist, and daily biofeedback. A wrist activity monitor and daily sleep diary were used to monitor sleep during both phases, while at pre- and post-intervention, participants completed a battery of sleep and mood questionnaires and underwent cognitive performance testing. Sleep knowledge increased from pre- to post-intervention (d = 0.83 [95% CI −1.21, −0.43], p =< 0.001), while there were modest improvements in sleep diary estimates (i.e., sleep onset latency (Mdiff = −2.9 min, p = 0.02), sleep onset time (Mdiff = −12 min, p = 0.03), and sleep efficiency (Mdiff = 1.1%, p = 0.004)) and wrist activity monitor estimates (i.e., sleep onset time (Mdiff = −18 min, p = 0.01)). Insomnia severity scores decreased significantly (d = 0.47 [95% CI 0.08, 0.84], p = 0.001), while sleepiness scores increased but not meaningfully (d = 0.23 [95% CI −0.61, 0.14], p = 0.025). However, there was no significant change in mood (i.e., depression and anxiety) or cognitive performance scores (i.e., mean reaction time or lapses). Sleep interventions for esports athletes require further investigation. Future research should examine whether a stepped-care model, whereby increasing therapeutic input is provided as needed, can optimize sleep, mood, and cognitive performance outcomes.

A Randomized Controlled Trial Comparing Neurofeedback and Cognitive-Behavioral Therapy for Insomnia Patients: Pilot Study.

Insomnia is a common disease that negatively affects patients both mentally and physically. While insomnia disorder is mainly characterized by hyperarousal, a few studies that have directly intervened with cortical arousal. This study was conducted to investigate the effect of a neurofeedback protocol for reducing cortical arousal on insomnia compared to cognitive-behavioral treatment for insomnia (CBT-I). Seventeen adults with insomnia, free of other psychiatric illnesses, were randomly assigned to neurofeedback or CBT-I. All participants completed questionnaires on insomnia [Insomnia Severity Index (ISI)], sleep quality [Pittsburgh Sleep Quality Index (PSQI)], and dysfunctional cognition [Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS-16)]. The neurofeedback group showed decreases in beta waves and increases in theta and alpha waves in various areas of the electroencephalogram (EEG), indicating lowered cortical arousal. The ISI and PSQI scores were significantly decreased, and sleep efficiency and sleep satisfaction were increased compared to the pre-treatment scores in both groups. DBAS scores decreased only in the CBT-I group (NF p = 0.173; CBT-I p = 0.012). This study confirmed that neurofeedback training could alleviate the symptoms of insomnia by reducing cortical hyperarousal in patients, despite the limited effect in reducing cognitive dysfunction compared to CBT-I.