Discrepancy Between Desired Time in Bed and Desired Total Sleep Time, Insomnia, Depression, and Dysfunctional Beliefs About Sleep Among the General Population

What you believe is what you get? A systematic review examining how beliefs and attitudes about sleep are associated with sleep duration in non-clinical samples

A burgeoning area of research is investigating whether beliefs and attitudes about sleep are associated with sleep duration in individuals without clinical conditions (e.g., insomnia, depression, anxiety, chronic pain). This review sought to examine and synthesize the extant research in non-clinical samples. A systematic review of the literature following PRISMA guidelines was conducted between March 2024 and May 2024, with 2204 studies screened. Study quality was assessed using NIH's Quality Assessment Tool for Cohort and Cross-Sectional Studies and NIH's Quality Assessment Tool for Controlled Intervention Studies. Seventeen articles met eligibility criteria. All studies were classified as "fair" or "poor" quality. Studies generally demonstrated that more favorable attitudes and beliefs were associated with appropriate sleep duration. Specific beliefs related to sleep may be differentially associated with sleep duration. Preliminary evidence demonstrated that demographic factors may modify this association. Favorable attitudes toward sleep may be associated with more appropriate sleep duration among individuals without clinical conditions. However, the quality of the extant research was rated poorly, demonstrating a need for additional, higher quality studies. Future studies should consider this relationship while considering demographic factors as this may have important implications for public sleep health efforts.

Sleep-Related Cannabis Expectancy Questionnaire (SR-CEQ): Factor Analysis Replication, Internal Reliability, and Construct Validity

Expectancies regarding the sleep-promoting effects of cannabis may exacerbate the propensity to self-medicate sleep problems with cannabis. Given the potential clinical importance of expectancies for the sedative effects of cannabis, Goodhines et al (2020) developed the Sleep-Related Cannabis Expectancies Questionnaire (SR-CEQ). However, concurrent validity of this instrument has not been evaluated. This study aimed to replicate the two-factor structure and internal reliability and explore incremental construct validity of the SR-CEQ. Cross-sectional online survey data were collected from 287 college students (Mage = 19.07 ± 1.44 years, range 18-25; 47% male; 84% non-Hispanic White; 61% lifetime cannabis use). Confirmatory factor analysis replicated an adequate fit of the two-factor model (SRMR = 0.08) with excellent internal consistency within positive (α = .94) and negative (α = .91) subscales. Novel correlates were observed for positive (greater mood, sleep, cannabis risk; rs = .16-.48, ps = .001-.03) and negative (lesser cannabis risk; rs = -.18-.61, ps = .001-.03) subscales. Positive expectancies were greater among students with insomnia (t[285] = 2.70, p < .01; d = .33) and hazardous cannabis use (t[284] = 6.63, p < .001; d = 0.91). No group differences were observed by sex or for negative sleep-related cannabis expectances. This study extends psychometric validation of the SR-CEQ and highlights positive expectancies as a potential risk factor for insomnia and hazardous cannabis use.

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.

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

INTRODUCTION

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.

METHODS

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).

RESULTS

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).

CONCLUSIONS

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.

Discrepancy Between Desired Time in Bed and Desired Total Sleep Time, Insomnia, Depression, and Dysfunctional Beliefs About Sleep Among a Clinical Sample of Patients With Insomnia

OBJECTIVE

This study investigated whether the discrepancy between desired time in bed and desired total sleep time (DBST) index could be a meaningful indicator for assessing insomnia severity in a clinical sample of patients with insomnia. Furthermore, we sought to identify the mediators of the association between DBST and insomnia severity in individuals with insomnia.

METHODS

We collected the medical records of 127 patients with insomnia. Each participant's DBST index was calculated using sleep indices, including time and duration variables. Psychological symptoms were investigated using the Insomnia Severity Index (ISI), Patients Health Questionnaire-9 items (PHQ-9), Generalized Anxiety Disorder-7, Dysfunctional Beliefs and Attitudes about Sleep-16 items (DBAS-16), and Epworth Sleepiness Scale.

RESULTS

The DBST index was significantly correlated with the ISI (r=0.20, p<0.05), desired total sleep time (r=-0.52, p<0.001), and desired time in bed (r=0.32, p<0.01). Linear regression analysis revealed that insomnia severity was associated with age (β=-0.18, p=0.018), DBST (β=0.23, p=0.003), PHQ-9 (β=0.23, p=0.031), and DBAS-16 (β=0.42, p<0.001). The DBST directly influenced insomnia severity, although indirect effects of mediators were not significant.

CONCLUSION

The DBST index directly influenced insomnia severity regardless of the mediating effects of psychological factors among a clinical sample of patients with insomnia. This finding implies that the DBST index can be a simple measure of insomnia severity, even among patients with insomnia.

Efficacy and safety of digital therapeutic application of Sleep Index-Based Treatment for Insomnia (dSIBT-I): a pilot study

The aim of this study was to evaluate the safety and efficacy of digital therapeutic application of Sleep Index-Based Treatment for Insomnia (dSIBT-I) and compare them with those of digital application of Cognitive Behavioural Therapy for Insomnia (dCBT-I). This randomised prospective pilot study was conducted at the Asan Medical Center. A total of 50 patients with insomnia were recruited between December 2022 and January 2023 and randomly allocated to the dSIBT-I or dCBT-I group. The study was carried out for one month. The primary outcome was the significant reduction in Insomnia Severity Index score at Week 4 compared to baseline, while the secondary outcome was proportion of participants whose Insomnia Severity Index scores were reduced to <15 at Week 4. We performed linear mixed model and generalised estimating equation analyses. Both dSIBT-I and dCBT-I groups showed significant improvements in Insomnia Severity Index scores at Week 4. There was no significant difference between two groups in terms of Insomnia Severity Index scores at Week 4 (group × time effect, F = 1.07, p = 0.382) and proportion of participants whose Insomnia Severity Index scores were reduced to <15 at Week 4 (group × time effects, F = 1.80, p = 0.615). However, at Week 2, the dSIBT-I group showed better results than the dCBT-I group in terms of both Insomnia Severity Index scores (p = 0.044) and proportion of participants whose Insomnia Severity Index scores were reduced to <15 (82.6% vs. 48.0%, p = 0.017). No treatment-emergent adverse events were reported in either group. The dSIBT-I is a safe and effective therapy for insomnia, with rapid treatment effects.

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

OBJECTIVE

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.

METHODS

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.

RESULTS

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.

CONCLUSION

Changing the DBST index can be a simple way to reduce insomnia severity among the general population.

Substance use and sleep health in young adults: Implications for integrated treatment and harm reduction

In their systematic review and meta-analysis, Meneo and colleagues document distinct substance-sleep effects reported by young adults (ages 18-30) across multidimensional sleep health and different substances used in the naturalistic environment, including alarming rates of self-medication for sleep aid. Key innovations of Meneo et al.'s review include (a) a multidimensional approach to defining sleep health and (b) robust inclusion of various substances commonly used in young adults. Although future research will be essential to clarifying transdiagnostic risk mechanisms, interplay of co-used substances, and the role of expectancies in risk processes, the developing literature reviewed herein may inform much-needed clinical recommendations. This work by Meneo et al should prompt an emphasis on approaching young adult substance use and self-medication through a harm reduction lens, highlighting recommendations for integrated behavioral sleep treatment tailored to stage of change using motivational interviewing.

Discrepancy between desired time in bed and desired total sleep time in patients with cancer: The DBST index and its relationship with insomnia severity and sleep onset latency

Patients with cancer can often experience insomnia or sleep disturbances. 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 measurement tool for insomnia severity or sleep onset latency [SOL] in patients with cancer. This retrospective medical records review study gathered clinical information and scores from scales and indices such as the Insomnia Severity Index (ISI), Cancer-related Dysfunctional Beliefs about Sleep (C-DBS) scale, Patient Health Questionnaire-9 items (PHQ-9), State subcategory of State and Trait Anxiety Inventory, and the short form of the Fear of Progression Questionnaire. Sleep indices of time variables (bedtime, sleep onset time, and wake-up time), duration variables [SOL, time in bed (TIB), time in bed over 24 hours (TIB/d), and duration from wake-up time to bedtime (WTB)], and DBST index were calculated. ISI scores were predicted by the PHQ-9 (β = 0.34, P < 0.001), C-DBS scale (β = 0.17, P = 0.034), and DBST indices (β = 0.22, P = 0.004). Long SOL value was predicted by early bedtimes (β = -0.18, P = 0.045), short WTB durations (β = -0.26, P = 0.004), and high DBST index values (β = 0.19, P = 0.013). The DBST index was significantly correlated with both insomnia severity and SOL in patients with cancer.

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

OBJECTIVE

We aimed to assess the validity and reliability of a Turkish adaptation of the Glasgow Sleep Effort Scale (GSES).

METHODS

We 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.

RESULTS

A 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.

CONCLUSIONS

The GSES is valid and reliable for measuring sleep effort among Turkish university students.

Four Useful Concepts When Treating Patients With Insomnia: Possibility of Sleep Index-Based Cognitive Behavioral Therapy for Insomnia

Cognitive behavioral therapy for insomnia (CBT-I) is one of the most common treatments for insomnia and is considered as the first-line treatment. People who struggle to fall asleep or stay asleep or those who do not find sleep refreshing can benefit over four to six sessions of CBT-I. Although CBT-I has many benefits, it does have some drawbacks. Therefore, a brief version needs to be developed for use in clinical practice. This study proposes the following concepts that can be readily applied in clinical practice: 1) Concept 1, 17 hours of activity and 7 hours of sleep; 2) Concept 2, discrepancy between desired time in bed and desired total sleep time; 3) Concept 3, time in bed during 24 hours; and 4) Concept 4, taking sleeping pills 7 hours before the waking up time. These concepts based on sleep indices could easily help patients with insomnia and may serve as a foundation for the development of Sleep Index-based CBT-I.