Glasgow Sleep Effort Scale Research Articles

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 (β = 0.15, p = 0.008), GSES (β = 0.48, p < 0.001), and PHQ-9 (β = 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.

Preoccupation with sleep and dysfunctional beliefs about sleep mediate the influence of psychological inflexibility on insomnia in the older adult population.

This study aimed to explore whether the Discrepancy between the desired time in Bed and the desired total Sleep Time (DBST) index influences insomnia severity in the older adult population and examined the potential role of psychological inflexibility in this association. An online survey study was conducted for older individuals aged ≥ 65 via a survey company between January and February 2023. A total of 300 responses and data without personally identifiable information were delivered to the researchers. The survey questionnaires include the DBST, Glasgow Sleep Effort Scale (GSES), Insomnia Severity Index (ISI), Dysfunctional Beliefs about Sleep-2 items (DBS-2), and Acceptance and Action Questionnaire-II (AAQ-II). The analysis included 295 older adult participants. The DBST index was significantly correlated with all questionnaires. Linear regression revealed the DBST index was predicted only by the ISI (β = 0.26, p = 0.003). Mediation analysis showed that the GSES (Z = 2.92, p = 0.003) and DBS-2 (Z = 2.17, p = 0.030) mediated the effect of the DBST index on the ISI, while the AAQ-II did not. Path analysis showed that the DBST could be directly predicted by the ISI (Z = 2.94, p = 0.003), GSES (Z = 2.75, p = 0.006), and DBS2 (Z = 2.71, p = 0.007) but not by the AAQ-II itself. However, the AAQ-II exerted a significant indirect effect on the ISI through the DBS-2 (Z = 2.21,p = 0.027) and GSES (z = 2.24, p = 0.025). Our study showed that preoccupation and dysfunctional beliefs about sleep may mediate the relationship between the DBST index and insomnia severity in the older adult population. We opine that psychological inflexibility might play a significant role in insomnia severity via preoccupation with and dysfunctional beliefs about sleep.

Validation of the Arabic Version of the Glasgow Sleep Effort Scale Among Lebanese General Population

Validation of the Arabic Version of the Glasgow Sleep Effort Scale Among Lebanese General Population

SleepSync: Early Testing of a Personalised Sleep-Wake Management Smartphone Application for Improving Sleep and Cognitive Fitness in Defence Shift Workers.

Shift work, long work hours, and operational tasks contribute to sleep and circadian disruption in defence personnel, with profound impacts on cognition. To address this, a digital technology, the SleepSync app, was designed for use in defence. A pre-post design study was undertaken to examine whether four weeks app use improved sleep and cognitive fitness (high performance neurocognition) in a cohort of shift workers from the Royal Australian Air Force. In total, 13 of approximately 20 shift-working personnel from one base volunteered for the study. Sleep outcomes were assessed using the Insomnia Severity Index (ISI), the Patient-Reported Outcomes Measurement Information System (PROMIS), Sleep Disturbance and Sleep-Related Impairment Scales, the Glasgow Sleep Effort Scale, the Sleep Hygiene Index, and mental health was assessed using the Depression, Anxiety, and Stress Scale-21. Sustained attention was measured using the 3-min Psychomotor Vigilance Task (PVT) and controlled response using the NBack. Results showed significant improvements in insomnia (ISI scores 10.31 at baseline and 7.50 after app use), sleep-related impairments (SRI T-scores 53.03 at baseline to 46.75 post-app use), and healthy sleep practices (SHI scores 21.61 at baseline to 18.83 post-app use; all p < 0.001). Trends for improvement were recorded for depression. NBack incorrect responses reduced significantly (9.36 at baseline; reduced by -3.87 at last week of app use, p < 0.001), but no other objective measures improved. These findings suggest that SleepSync may improve sleep and positively enhance cognitive fitness but warrants further investigation in large samples. Randomised control trials with other cohorts of defence personnel are needed to confirm the utility of this intervention in defence settings.

Examining the reliability and validity of the arabic version of the Glasgow Sleep Effort Scale (GSES).

Sleep effort refers to the cognitive and behavioral exertion involved in initiating and maintaining sleep. High sleep effort is increasingly recognized as perpetuating insomnia and poor sleep quality. Validated sleep effort scales enable the quantification of this construct in clinical and research settings. However, no Arabic version has been available. This study translated and validated the Glasgow Sleep Effort Scale (GSES) into Arabic to assess sleep effort in Arabic-speaking populations. The GSES was translated into Arabic using the forward-backward translation approach. This involved an initial Arabic translation from the source followed by a back translation into English to ensure accuracy. A total of 369 participants were recruited to assess the psychometric properties of the Arabic version of the GSES, specifically its reliability and validity. The reliability analysis included Cronbach's α, McDonald's ω, and test-retest reliability. Validity was examined using confirmatory factor analysis (CFA) to evaluate the unidimensionality of the scale and assess model fit. Convergent validity was also assessed through correlation analysis with the Athens Insomnia Scale (AIS) and the Generalized Anxiety Disorder-7 Scale (GAD-7). The Cronbach's α reliability coefficient and McDonald's ω for the scale were found to be 0.87 (95% CI: 0.85-0.89). The test-retest reliability was 0.95 (95% CI: 0.93 - 0.97) after two weeks. The one-factor model showed an acceptable fit, with a CFI of 0.96, a TLI of 0.94, and an SRMR of 0.04. Invariance analysis revealed that male and female participants conceptualized and responded to the GSES items similarly, without differences in factor loadings or scale characteristics between the sexes. The Arabic version of the GSES has good convergent validity, as shown by the significant correlation between the AIS and the GSES (r = 0.72, p < 0.001). Similarly, the GAD-7 score was significantly correlated with the GSES score (r = 0.77, p < 0.001). This is the first study in which the GSES was validated in Arabic. This allows the scale to reliably gauge sleep effort among Arabic speakers, providing new clinical and research opportunities to understand how maladaptive sleep effort may contribute to insomnia and suboptimal sleep in this demographic population.

Sleep effort and its measurement: A scoping review.

Insomnia disorder is characterized by disruption in sleep continuity and an overall dissatisfaction with sleep. A relevant feature of insomnia is sleep effort, which refers to both cognitive and behavioural conscious attempts to initiate sleep. The Glasgow Sleep Effort Scale is a self-report tool developed to assess this construct. The objective of the current scoping review was to map how sleep effort has been discussed in the literature and operationalized through its respective measure. Medline/PubMed, Scopus, Web of Science and PsycInfo databases were used to search for potential studies. The search query used in databases was the specific name of the self-reported tool itself (Glasgow Sleep Effort Scale) and "sleep effort" term. This scoping review followed JBI guidelines. To be included, records pertaining to any type of study that mentioned the Glasgow Sleep Effort Scale were considered. No language constraint was used. At the end, 166 initial records were retrieved. From those, 46 records met eligibility criteria and were analysed. Among the main findings, it was observed that the Glasgow Sleep Effort Scale has been increasingly used in recent years, with a notable observed upward trend, especially in the last 2 years. In addition to the original measure, only three published adapted versions of the instrument were identified. This suggests that there is limited research on adapting the scale for different populations or contexts. Sleep effort has been increasingly studied in the last few years. Nonetheless, more research on the Glasgow Sleep Effort Scale tool is recommended, including cross-cultural adaptations.

The Effect of Psychological Inflexibility on Social-Distancing Phobia Mediated by Preoccupation With Sleep and Intolerance of Uncertainty in the Elderly Population During the COVID-19 Pandemic.

The aim of this study was to explore whether psychological inflexibility in the elderly population is related to social-distancing phobia, and examine whether their viral anxiety, preoccupation with sleep, or intolerance of uncertainty may mediate the relationship. Among the elderly population aged ≥65 in Korea, we conducted an anonymous online survey during January and February 2023. We collected the responses of 300 participants, collected demographic information, and symptoms using rating scales such as the Social-Distancing Phobia scale, Stress and Anxiety to Viral Epidemics-6 items (SAVE-6), Intolerance of Uncertainty Scale-12 (IUS-12), Acceptance and Action Questionnaire-II (AAQ-II), and Glasgow Sleep Effort Scale (GSES). Social-distancing phobia was expected by the SAVE-6 (β=0.34, p<0.001), IUS-12 (β=0.18, p=0.003), and GSES (β=0.18, p= 0.001) in the linear regression analysis. In the mediation analysis, psychological inflexibility did not directly influence social-distancing phobia. However, viral anxiety, intolerance of uncertainty, or preoccupation with sleep completely mediated the influence of psychological inflexibility on social-distancing phobia among elderly population. The management of psychological inflexibility, intolerance of uncertainty, or preoccupation with sleep needs to be considered when designing interventions to address social-distancing phobia in elderly populations in future pandemics.

Changes in Insomnia Severity are Associated With the Changes in Discrepancy Between Desired Time in Bed and Desired Total Sleep Time Among the General Population.

The discrepancy between desired time in bed and desired total sleep time (DBST index) is correlated with the severity of insomnia among the general population. This study aimed to explore whether the change in DBST index is associated with changes in insomnia severity. The study was conducted as a single source tracking online survey among the general population. The first survey (T1) was completed by all 399 participants, and the second survey (T2) was completed by 233 participants 5-6 weeks after the T1 survey with a simple instruction of reducing the DBST index. Participants' age, sex, marital status, past psychiatric history, and sleep patterns were collected. In addition to the DBST index, the Glasgow Sleep Effort Scale (GSES), Dysfunctional Beliefs about Sleep-2 items (DBS-2), and Insomnia Severity Index (ISI) were rated. The change in the ISI (T1-T2) was significantly correlated with the changes in the GSES (r=0.24, p<0.001), DBS-2 (r=0.22, p<0.001), and DBST index (r=0.15, p=0.020). The change in insomnia severity was expected with change in the GSES (β=0.23, p<0.001), DBS-2 (β=0.20, p=0.002), and DBST index (β=0.13, p=0.037). Mediation analysis showed that change in DBST index directly influenced change in insomnia severity and change in GSES or DBS-2 did not mediate the relationship. Changing the DBST index can be a simple way to reduce insomnia severity among the general population.

No Association Between Insomnia Severity, and Discrepancy Between Desired Time in Bed and Desired Total Sleep Time Among Shift-Working Nursing Professionals

Background and Objective This study aimed to explore whether the discrepancy between a patient’s desired time in bed and desired total sleep time (DBST index) can be used as a tool to assess the insomnia severity of shift-working nursing professionals.Methods Two studies were conducted during two different times among two groups of shiftworking nursing professionals working in COVID-19 inpatient wards (study I), or nurses who witnessed patient death during the previous 2 years (study II), using a single voluntary survey. The survey was completed by a total of 366 participants: 226 in the first study, and 140 in the second. Participants’ age, sex, marital status, and past psychiatric history were collected. In addition to questions regarding the DBST index, the Glasgow Sleep Effort Scale (GSES), Dysfunctional Beliefs about Sleep-2 items (DBS-2), and the Insomnia Severity Index (ISI) were assessed.Results In both studies, the DBST index did not reflect insomnia severity, preoccupation with sleep, or dysfunctional beliefs about sleep in the linear regression analysis. In addition, ISI was expected by GSES (β = 0.67 in study I, β = 0.62 in study II, all p &lt; 0.001) and DBS-2 (β = 0.16 in study II, p = 0.020), but not by the DBST index.Conclusions It was observed that the DBST index was not significantly associated with insomnia severity, preoccupation with sleep, or dysfunctional beliefs about sleep in two studies done among shift working-nursing professionals.

Sleep Reactivity and Sleep Efforts in Shift Workers.

The current study aimed to investigate the differences in sleep reactivity and sleep effort differs among late night shift workers (LSWs) and non-late night shift workers (non-LSWs), and non-shift workers (non-SWs). In total, 6,023 participants (1,613 non-SWs, 3,339 LSWs, and 1,071 non-LSWs) were recruited. Non-SWs was defined as those who works at fixed schedules during standard daylight. LSWs was defined as who work late night hours (10 PM-6 AM), while non-LSWs was SWs who did not work during late night. All completed the Ford Insomnia Response to Stress Test (FIRST), the Glasgow Sleep Effort Scale (GSES), the Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale (ESS), the Insomnia Severity Index (ISI), and the short-term Center for Epidemiologic Studies-Depression scale (CES-D) through online survey. LSWs and non-LSWs reported higher FIRST, GSES scores than non-SWs. In addition, LSWs reported higher FIRST, GSES scores than non-LSWs. FIRST scores were correlated with CES-D, PSQI, ISI, and ESS for LSWs, non-LSWs, and non-SWs alike. GSES scores were also correlated with CES-D, PSQI, ISI, and ESS for LSWs, non-LSWs, and non-SWs alike. SWs showed higher sleep reactivity and sleep effort than non-SWs. LSWs had higher sleep reactivity and sleep effort than non-LSWs, and these variables are associated with insomnia, daytime sleepiness, and depressive symptoms. Our findings suggests that late night schedule, may increase sleep reactivity and sleep effort, which are associated with sleep and mood disturbances.

Perinatal Understanding of Mindful Awareness for Sleep (PUMAS): A single-arm proof-of-concept clinical trial of a mindfulness-based intervention for DSM-5 insomnia disorder during pregnancy

ObjectivesCognitive-behavioral therapy is effective for prenatal insomnia, but unresolved cognitive arousal limits patient outcomes. Therapies aimed at reducing cognitive arousal may benefit pregnant women with insomnia. This proof-of-concept trial evaluated Perinatal Understanding of Mindful Awareness for Sleep (PUMAS, which combines mindfulness with behavioral sleep strategies) on insomnia, depression, and cognitive arousal. MethodsA single-arm trial of 12 pregnant women with DSM-5 insomnia disorder (n = 5/12 with comorbid depression) who received six sessions of PUMAS delivered individually via telemedicine. Pretreatment and posttreatment outcomes included the insomnia severity index (ISI), Edinburgh postnatal depression scale (EPDS), pre-sleep arousal scale's cognitive factor (PSASC; nocturnal cognitive arousal), perinatal-focused rumination (appended to PSASC), and Glasgow sleep effort scale. ResultsEleven of 12 patients completed all sessions. Intent-to-treat analyses revealed a 10.83-point reduction in ISI (Cohen's dz = 3.05), resulting in 83.3% insomnia remission. PUMAS produced large reductions in EPDS (Cohen's dz = 2.76 in depressed group), resulting in all five baseline depressed patients remitting from depression. PUMAS produced large reductions in nocturnal cognitive arousal, perinatal-focused rumination, and sleep effort (all Cohen's dzs>2.00). Patients were highly satisfied with PUMAS and identified the telemedicine format and meditation app as positive features of its delivery. Patients rated sleep restriction and guided meditations as the most helpful treatment components. ConclusionPrenatal insomnia patients were highly engaged in PUMAS, which produced large acute reductions in insomnia, depression, and cognitive arousal. These findings support the concept and feasibility of PUMAS for pregnant women with insomnia who present with or without comorbid depression. Clinicaltrials.gov idNCT04443959.

0317 A single-arm proof-of-concept clinical trial of a mindfulness-based intervention for prenatal insomnia

Abstract Introduction Cognitive behavioral therapy for insomnia (CBTI) improves sleep in pregnancy, but its therapeutic benefits may be diminished in pregnancy due to undertreatment of cognitive arousal (i.e., heightened cognitive activity, especially at night). Growing evidence indicates that mindfulness-based interventions produce large reductions in cognitive arousal, which may enhance insomnia therapy outcomes. The present study was a proof-of-concept, single-arm trial of Perinatal Understanding of Mindful Awareness for Sleep (PUMAS), which places behavioral sleep strategies within a mindfulness intervention framework and tailors sleep and mindfulness components to pregnancy. We evaluated patient engagement, treatment outcomes, and patient feedback from 12 pregnant women with insomnia who received PUMAS treatment. Methods Twelve pregnant women with DSM-5 insomnia disorder were treated with six weekly telemedicine sessions of PUMAS. Patient engagement was operationalized as session attendance. Treatment outcomes were assessed before and after PUMAS, which included the insomnia severity index (ISI), Edinburgh postnatal depression scale (EPDS), pre-sleep arousal scale’s cognitive factor (PSASC), and Glasgow sleep effort scale (GSES). Patients completed the Consumer’s report treatment satisfaction scale and provided treatment feedback. Results Eleven of 12 patients completed all six sessions (91.7%). Intent-to-treat analyses revealed very large reductions in ISI (ISI: 14.50±2.50 to 3.67±3.11; p&amp;lt;.001, Cohen’s dz=3.05), resulting in an 83.3% insomnia remission rate (n=10/12). Among the five patients with comorbid depression (EPDS≥10), PUMAS produced large antidepressant effects (EPDS: 14.00±3.32 to 5.00±2.55; p=.004, Cohen’s dz=2.76), and all five patients remitted from depression at posttreatment. PUMAS yielded very large reductions in cognitive arousal (PSASC: 20.75±4.58 to 12.50±4.23, p&amp;lt;.001, Cohen’s dz=2.08) and sleep effort (GSES: 5.92±2.64 to 2.08±1.62; p&amp;lt;.001, Cohen’s dz=2.06). Patients reported the highest rates of treatment satisfaction for improvement in insomnia (100%), energy (90.9%), pregnancy stress (90.9%), mood (90.9%), and coping with stress (83.3%). Patients identified sleep restriction and meditations as the most helpful PUMAS components. Conclusion Pregnant women with DSM-5 insomnia disorder are engaged in PUMAS, which produced large reductions in insomnia, depression, cognitive arousal, and sleep effort. Patients reported high satisfaction across several domains of functioning. This trial supports testing PUMAS in a randomized controlled trial. Support (if any)

Analysis of the Psychometric Properties of the Glasgow Sleep Effort Scale Through Classical Test Theory, Item Response Theory, and Network Analysis

PurposeThe Glasgow Sleep Effort Scale was developed with the aim of measuring sleep effort. The present study evaluates the psychometric properties of the European Portuguese version of the scale through classical test theory (specifically confirmatory factor analysis), item response theory, and network analysis.MethodsIt was used an existing database comprising a community sample of 227 Portuguese adults, aged 20–74 (M = 42.99; SD = 12.44) years old, comprising 49.8% women and 50.2% men.ResultsIn confirmatory factor analysis, a well-adjusted to data one-factor model was identified, with sleep effort as the single factor. Item response theory analysis indicated an adequate performance of all items and satisfactory coverage of the latent trait, with items 3 (a = 3.37), 4 (a = 3.18), and 6 (a = 3.02) as the most discriminative ones. Considering network analysis, items 4 and 7 presented the strongest edge weight (.48). Item 1 was displayed at the centre of the networks and accounted for the largest number of connections with the remaining items.ConclusionThe results suggest that the Glasgow Sleep Effort Scale is a reliable measure, comprising highly discriminative items with good centrality indices.

Type D personality to insomnia: Sleep reactivity, sleep effort, and sleep hygiene as mediators.

Insomniacs are heterogenous group with very diverse personalities. We aimed to investigate the mediating role of sleep reactivity (SR), sleep hygiene (SH), and sleep effort (SE) in the relationship between Type D personality and insomnia. We conducted a cross-sectional survey among 474 participants. The survey comprised the sociodemographic data form, Insomnia Severity Index (ISI), D Type Personality Scale (DS-14), Ford Insomnia Response to Stress Test (FIRST), Glasgow Sleep Effort Scale (GSES), and Sleep Hygiene Index (SHI). We conducted hierarchical multiple regression analysis to identify the associations between age, sex, SR, Type D personality traits, SE, SH, and insomnia severity. We subsequently conducted mediation analyses to examine whether SR, SH, and SE mediated the relationship between Type D personality and insomnia. ISI, DS-14, FIRST, SHI, and GSES scores were significantly higher in individuals with Type D personality. Female sex, SR, Type D personality traits, SE, and SH explained 45% of the variance in insomnia severity. When age, sex, insomnia response to stress, and Type D personality traits were controlled, SE and SH significantly explained 25% of the variance in insomnia severity (R 2 = 0.45, R 2 change = 0.25, F (6.474) = 65.58, p < 0.001). SR, SE, and SH each played a partial mediating role between Type D personality and insomnia. The findings showed that individuals with Type D personality had high SR and that individuals with a higher number of these personality traits exhibited more severe insomnia symptoms through high SR, greater SE, and worse SH.

Sleep Effort and Insomnia Severity: The Role of Bedtime Procrastination

Background and Objective We aimed to investigate the mediating role of bedtime procrastination in the relationship between sleep effort and insomnia severity in this study.Methods We included 497 university students in this study. All the participants completed the sociodemographic data form, Glasgow Sleep Effort Scale (GSES), Insomnia Severity Index (ISI), Depression-Anxiety-Stress Scale-21 (DASS-21), and Bedtime Procrastination Scale (BPS). We divided the participants into groups, according to their GSES and BPS scores, those with high-low sleep effort and those with BP (+) and BP (-), respectively. We compared the variables in these groups. Finally, we analyzed the mediating role of bedtime procrastination in the relationship between sleep effort and insomnia severity.Results The mean age of the participants was 20.41 ± 1.83 years. ISI, BPS, and DASS-21 were statistically significant in the group with high sleep effort (p &lt; 0.01). Among the psychometric instrument scores, the highest correlation with GSES was with ISI, and then there was a statistically significant positive correlation with DASS-21. In addition, there was a statistically significant positive correlation between GSES and BPS. Bedtime procrastination played a partial mediation role in the relationship between sleep effort and insomnia severity.Conclusions Bedtime procrastination partially mediated the relationship between sleep effort and insomnia severity. Therapists should consider sleep effort and bedtime procrastination on their agenda in cognitive behavioral therapy sessions for insomnia.

The Role of Sleep Effort as a Mediator Between Anxiety and Depression.

Depression, anxiety, and insomnia are all conditions that share a complex bidirectional relationship. Sleep effort is a construct with cognitive and behavioral components that perpetuates insomnia. Although many studies have examined the associations between these three variables, no studies have yet examined sleep effort as a mediating variable between anxiety and depression and vice versa. Online versions of the Hospital Anxiety and Depression Scale and the Glasgow Sleep Effort Scale were administered to a sample of 1927 higher education students aged 18-40years (75.9% women and 76% from 18 to 23years old). As part of the survey, participants also completed a sociodemographic questionnaire. Mediation analysis indicated that sleep effort mediates the relationship between depression and anxiety, when the former was the predictor and the latter was the criterion. Moreover, sleep effort also mediated the relationship between anxiety and depression when the former was the predictor and the latter was the criterion, albeit in a lesser extent. Sleep effort appears to play a bidirectional mediational role between depression and anxiety, being a potential target for intervention.

Reducing cognitive arousal and sleep effort alleviates insomnia and depression in pregnant women with DSM-5 insomnia disorder treated with a mindfulness sleep program.

Combining mindfulness with behavioral sleep strategies has been found to alleviate symptoms of insomnia and depression during pregnancy, but mechanisms for this treatment approach remain unclear. The present study examined nocturnal cognitive arousal and sleep effort as potential treatment mechanisms for alleviating insomnia and depression via a mindfulness sleep program for pregnant women. Secondary analysis from a proof-of-concept trial of 12 pregnant women with DSM-5 insomnia disorder who were treated with Perinatal Understanding of Mindful Awareness for Sleep (PUMAS), which places behavioral sleep strategies within a mindfulness framework. Data were collected across eight weekly assessments: pretreatment, six sessions, and posttreatment. Measures included the insomnia severity index (ISI), Edinburgh postnatal depression scale (EPDS), pre-sleep arousal scale's cognitive factor (PSASC), and the Glasgow sleep effort scale (GSES). We used linear mixed modeling to test cognitive arousal and sleep effort as concurrent and prospective predictors of insomnia and depression. Most patients reported high cognitive arousal before PUMAS (75.0%), which decreased to 8.3% after treatment. All insomnia remitters reported low cognitive arousal after treatment, whereas half of nonremitters continued reporting high cognitive arousal. Both nocturnal cognitive arousal and sleep effort were associated with same-week changes in insomnia throughout treatment, and sleep effort yielded a prospective effect on insomnia. Lower levels of nocturnal cognitive arousal and sleep effort prospectively predicted reductions in depression. The present study offers preliminary evidence that reducing sleep effort and nocturnal cognitive arousal may serve as key mechanisms for alleviating insomnia and depression via mindfulness-based insomnia therapy. ClinicalTrials.gov ID: NCT04443959.

The DBST Index, the Discrepancy Between Desired Time in Bed and Desired Total Sleep Time: The Possible New Sleep Index Predicting Severity of Insomnia

Background and Objective We considered the concept of the DBST, the discrepancy between a patient’s desired time in bed (TIB) and desired total sleep time (TST). The DBST index can be used to easily assess a patient’s thoughts on their desired TST and dysfunctionally long TIB. This study aimed to explore whether the DBST index can predict the severity of insomnia.Methods A total of 374 members of the general population participated in this e-survey study. The participants answered questions regarding their bedtime, sleep onset time, wake-up time, desired TST, and desired TIB, and psychological symptoms were assessed using the Insomnia Severity Index (ISI), Patients Health Questionnaire–9 items (PHQ-9), Dysfunctional Beliefs and Attitudes about Sleep–16 items (DBAS-16), and Glasgow Sleep Effort Scale (GSES).Results The DBST index was significantly correlated with the ISI (r = 0.20, p &lt; 0.01), PHQ-9 (r = 0.15, p &lt; 0.01), GSES (r = 0.14, p &lt; 0.01), DBAS-16 (r = 0.16, p &lt; 0.01), desired TST (r = -0.62, p &lt; 0.01), and desired TIB (r = 0.52, p &lt; 0.01). Linear regression analysis showed that insomnia severity was predicted by persistent preoccupation with sleep (beta = 0.64, p &lt; 0.001), dysfunctional beliefs about sleep (beta = 0.06, p &lt; 0.001), depression (beta = 0.23, p &lt; 0.001), and DBST (beta = 0.32, p = 0.035). The DBST directly influenced insomnia severity, and this association was shown to be mediated by dysfunctional beliefs and attitudes about sleep, preoccupation with sleep, and depression.Conclusions The DBST index could be a possible new sleep index due to its relationship with insomnia severity, depression, dysfunctional beliefs about sleep, and preoccupation with sleep. Further studies are needed to explore the consistency of the clinical sample.

Validation of the Korean Version of the Positive and Negative Sleep Appraisal Measure (PANSAM) as a Tool for Evaluating Dysfunctional Beliefs about Sleep among the General Population.

We explored the reliability and validity of the Korean version of the Positive and Negative Sleep Appraisal Measure (PANSAM) scale using pre-existing sleep-related questionnaires among the general population. Through an online survey, data from 400 South Korean participants were collected from 10 to 18 January 2022. Symptoms were measured with the PANSAM, Insomnia Severity Index (ISI), the 16-item Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS-16), the Glasgow Sleep Effort Scale (GSES), and the discrepancy between desired time in bed and the desired total sleep time (DBST) index. The four PANSAM subscales were reliable and valid tools for measuring individuals’ dysfunctional beliefs about sleep. A confirmatory factor analysis revealed that the full-scale and four-factor model showed a good fit. The full scale and each subscale were significantly correlated with ISI, DBAS-16, and GSES scores. The DBST index was significantly correlated with Subscales 2 and 3. In conclusion, the Korean version of the PANSAM scale and its four subscales can be applied when clinicians measure dysfunctional beliefs regarding sleep among the general population in South Korea. The PANSAM should be explored among other clinical groups to elucidate its applicability as a trans-diagnostic tool while conducting cognitive behavioral therapy for insomnia.

Validity and reliability of the Turkish version of the Glasgow Sleep Effort Scale

ObjectiveWe aimed to assess the validity and reliability of a Turkish adaptation of the Glasgow Sleep Effort Scale (GSES). MethodsWe randomly divided the data into two: one set (n = 374) was used for exploratory factor analysis (EFA) and the other (n = 373) for confirmatory factor analysis (CFA). The psychometric properties were assessed using the item response theory approach. Reliability analyses were assessed. Convergent validity of the GSES with the Dysfunctional Beliefs and Attitudes About Sleep Scale-16 (DBAS-16), Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and Depression Anxiety Stress Scale-21 (DASS-21) were explored. For the predictive validity, we used an independent-samples t-test for comparing the total score of the GSES between poor sleepers and good sleepers following the PSQI, and between clinical insomnia and non-clinical insomnia groups according to the ISI. The cut-off score of the GSES was examined. ResultsA single factor structure explaining 49.2% of the total variance was detected using the EFA. The CFA also found single-factor good fit indices. Cronbach's alpha and omega values were 0.82 and 0.83, respectively. There were statistically significant correlations between the GSES and DBAS-16, ISI, PSQI, and DASS-21 in convergent validity. In the Graded Response Model, the GSES was more efficient and provided reasonable information at the −0.75 to 2.25 theta level. The GSES cut-off score was 6 points for clinical insomnia and 3 points for poor sleepers. ConclusionsThe GSES is valid and reliable for measuring sleep effort among Turkish university students.