UNASSIGNED: Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy, with paresthesias and pain in the hand and wrist. CTS is also associated with insomnia and excessive daytime sleepiness (EDS) resulting from the nocturnal exacerbation of symptoms. The Boston Carpal Tunnel Questionnaire (BCTQ) was developed for the assessment of therapeutic outcomes. It consists of two subscales: the Symptom Severity Scale (SSS) and the Functional Status Scale (FSS). The aim of this study was to perform an adaptation and validation of the Polish language version of BCTQ (pBCTQ). A second aim was to investigate the influence of treatment of CTS on insomnia and EDS.
UNASSIGNED: The validation of the pBCTQ followed the widely accepted recommendations. In our consecutive sampling survey 130 patients with CTS filled out the pBCTQ, EQ-5D-5L quality of life questionnaire, the Athens Insomnia Scale (AIS) and the Epworth Sleepiness Scale (ESS). 26 of them filled out pBCTQ once again, two weeks later, and 35 filled out the pBCTQ and other items after therapy.
UNASSIGNED: The pBCTQ showed good internal consistency: 0.91 for SSS and 0.93 for FSS (Cronbach\'s α). The test-retest reliability showed an intraclass coefficient of 0.69 for SSS and 0.55 for FSS. Both subscales correlated also with nerve conduction studies (NCS) as well as with the EQ-5D-5L, AIS, and ESS. After therapy, both subscales and AIS significantly decreased. Improvement was also seen in the NCS and EQ-5D-5L, but not in the ESS.
UNASSIGNED: The pBCTQ is a reliable, valid, and responsive tool for measuring the outcome of CTS. Therapy for CTS leads to the improvement of concurrent insomnia but may not change daytime sleepiness.

UNASSIGNED: The COVID-19 pandemic changed people\'s lives. The majority had to adapt to working online including students. The shift to online learning caused serious sleep and mental health issues among students. This study aimed to examine the variations between the prevalence of sleep and mental health problems among undergraduate students during the periods of online learning and on-campus learning.
UNASSIGNED: An online survey was distributed to medical students in Saudi Arabia.
UNASSIGNED: A total of 110 participated in the study (age = 21 ± 1.4 years). The on-campus anxiety (8.2 ± 6.3) was significantly higher than online anxiety (5.5 ± 5.1). On-campus daytime sleepiness (8.5 ± 4) was significantly higher when compared to online daytime sleepiness (6.7 ± 4.6). Although not significant, the on-campus stress (7.7 ± 5.7) and insomnia (12 ± 7.3) were higher than online stress (6.9 ± 5.5) and insomnia (11.5 ± 6). The online depression (6.6 ± 5.7) was higher than the mean on-campus depression (5.8 ± 5.4). A significant strong positive correlation was found between on-campus anxiety and on-campus stress. A significant moderate positive correlation was detected between on-campus anxiety and on-campus daytime sleepiness. A weak but significant correlation was found between on-campus anxiety and on-campus insomnia. On-campus anxiety was significantly predicted by the following model, which included on-campus stress, insomnia, and daytime sleepiness (P < .001).
UNASSIGNED: Medical students reported lower anxiety, daytime sleepiness, stress, and insomnia during their online learning compared to on-campus learning. Only depression was higher during online learning compared to on-campus learning.

Benzodiazepine receptor agonists are often used for insomnia in older adults contrary to current evidence. The harms outweigh the benefits, which are limited. Cognitive behavioural therapy for insomnia is the first-line recommended treatment. Sleepwell was created as a repository of evidence-based resources to promote cognitive behavioural therapy for insomnia and limit benzodiazepine receptor agonist use. This qualitative study uses an interpretive description design and reflexive thematic analysis to explore older adults\' perspectives on behavioural change techniques used in Sleepwell resources. It also explores challenges and opportunities towards benzodiazepine receptor agonist discontinuation and cognitive behavioural therapy for insomnia use. Participants were recruited from the Sleepwell arm of a randomized controlled trial. Data were collected from 15 older adults using semi-structured interviews. Two main themes were developed: (1) sleep should not be this difficult; and (2) whether you know it, or learn it, drugs are bad. Two sub-themes were created within the first theme: (1) justification of benzodiazepine receptor agonist use to achieve sleep goals; (2) efforts of committing to cognitive behavioural therapy for insomnia. Several behavioural change techniques (e.g. information about consequences, anticipated regret, salience of consequences) were enablers of benzodiazepine receptor agonist-related behaviour change. For committing to cognitive behavioural therapy for insomnia, several behavioural change techniques (e.g. self-monitoring of behaviour, distraction, stimulus substitution) were beneficial, but social support, which was perceived as useful, was absent. Older adults experienced tension with benzodiazepine receptor agonist use and deprescribing, despite knowing or learning the potential consequences of benzodiazepine receptor agonists. Cognitive behavioural therapy for insomnia implementation was challenging. Embedded behavioural change techniques in the Sleepwell booklets were identified as helpful, but more (e.g. social support) are needed to optimize cognitive behavioural therapy for insomnia use.

The interplay between insomnia and PTSD symptoms remains misunderstood, and seems to be influenced by other factors like individual resilience. Our study examined the moderating role of resilience in the relationship between insomnia and PTSD symptoms among a sample of Lebanese adolescents, in the aftermath of the 2023 earthquake. This cross sectional study, conducted in April, 2 months after the earthquake, enrolled 546 Lebanese adolescents. We used the Sleep Self Report, the Resilience Scale for Adolescents and the 13-item Children\'s Impact of Event Scale. The interaction insomnia severity by resilience was significantly associated with PTSD scores. At low, moderate and high resilience levels, higher insomnia severity was significantly associated with lower PTSD. Resilience moderated the relationship between insomnia and PTSD, mitigating the detrimental impact of disrupted sleep on PTSD symptoms. This data can guide healthcare administrators and psychiatric caregivers in classifying risk factors and implementing interventions to predict PTSD development.

OBJECTIVE: Insomnia disorder is the most common sleep disorder. A better understanding of insomnia-related deviations in the brain could inspire better treatment. Insufficiently recognized heterogeneity within the insomnia population could obscure detection of involved brain circuits. The present study investigated whether structural brain connectivity deviations differ between recently discovered and validated insomnia subtypes.
METHODS: Structural and diffusion weighted 3-Tesla MRI data of four independent studies were harmonized. The sample consisted of 73 controls without sleep complaints and 204 participants with insomnia grouped into five subtypes based on their fingerprint of mood and personality traits assessed with the Insomnia Type Questionnaire. Linear regression correcting for age and sex evaluated group differences in structural connectivity strength, indicated by fractional anisotropy, streamline volume density and mean diffusivity, and evaluated within three different atlases.
RESULTS: Insomnia subtypes showed differentiating profiles of deviating structural connectivity which concentrated in different functional networks. Permutation testing against randomly drawn heterogeneous subsamples indicated significant specificity of deviation profiles in four of the five subtypes: highly distressed, moderately distressed reward sensitive, slightly distressed low reactive and slightly distressed high reactive. Connectivity deviation profile significance ranged from p= 0.001 to p=0.049 for different resolutions of brain parcellation and connectivity weight.
CONCLUSIONS: Our results provide a first indication that different insomnia subtypes exhibit distinct profiles of deviations in structural brain connectivity. Subtyping of insomnia could be essential for a better understanding of brain mechanisms that contribute to insomnia vulnerability.

Previous studies have highlighted the pivotal role of emotional regulation impairment in the progression of depressive and insomnia disorders, individually. Nevertheless, to date, no study has undertaken a direct comparison of the emotional profiles in individuals experiencing insomnia with or without major depressive episode (MDE). In this study, our objective was to closely examine multiple aspects of emotional regulation among individuals experiencing insomnia, with or without concurrent depression. This descriptive observational study involved 57 participants, comprising 27 individuals with comorbid chronic insomnia and MDE, and 30 with chronic insomnia alone. All participants completed self-questionnaires assessing aspects of emotional regulation: the Affect Intensity Measure (intensity), Affective Lability Scale (lability), Temperament Evaluation of Memphis Pisa Paris and San Diego Autoquestionnaire (temperament), Cognitive Emotion Regulation Questionnaire (cognitive strategies), and Multidimensional Assessment of Thymic States (reactivity). There were statistically significant differences between the group with insomnia with MDE and insomnia without MDE in terms of anxiety/depression lability. Discrepancies also manifested in terms of activation or inhibition in motor activity and motivation. Additionally, a noteworthy variance in cognitive strategies for emotional regulation was observed, specifically in self-blame and catastrophising. From a cognitive perspective, patients with insomnia and a MDE exhibited a greater inclination towards self-blame and catastrophising, in contrast to those with insomnia only. Behaviourally, the former group demonstrated heightened inhibition of motivation and motor activity. These findings underscore the importance of larger-scale investigations to validate these insights and pave the way for clinical prospects centred around emotional regulation, ultimately fostering personalised treatments for insomnia.

BACKGROUND: Although the effect sizes are modest, insomnia is consistently associated with suicidal thoughts and behaviors. Subgroup analyses can efficiently identify for whom insomnia is most relevant to suicidal ideation. To improve clinical case identification, the present study sought to identify subclusters of lifetime suicidal ideators for whom insomnia was most closely related to current suicidal ideation.
METHODS: Data on N = 4750 lifetime suicidal ideators were extracted from the Military Suicide Research Consortium\'s Common Data Elements. Data on sociodemographic characteristics, severity and history of suicidal thoughts and behaviors, and related clinical characteristics were clustered by unsupervised machine learning algorithms. Robust Poisson regression estimated cluster by insomnia associations with current suicidal ideation.
RESULTS: Three clusters were identified: a modest symptom severity cluster (N = 1757, 37.0 %), an elevated severity cluster (N = 1444 30.4 %), and a high severity cluster (N = 1549 32.6 %). In Cluster 1, insomnia was associated with current suicidal ideation (PRR 1.29 [1.13-1.46]) and remained significant after adjusting for sociodemographic and clinical covariates. In Cluster 2, insomnia was associated with current suicidal ideation (PRR 1.14 [1.01-1.30]), but not after adjusting for sociodemographic and clinical covariates. In Cluster 3, insomnia was associated with current suicidal ideation (PRR 1.12 [1.03-1.21]) and remained significant after adjusting for sociodemographic covariates, but not clinical covariates.
CONCLUSIONS: Cross-sectional design, lack of diagnostic data, non-representative sample.
CONCLUSIONS: Insomnia appears more closely related to current suicidal ideation among modest severity individuals than other subgroups. Future work should use prospective designs and more comprehensive risk factor measures to confirm these findings.

Prevalence rates for both depression and insomnia the first year after stroke are around 30%, significantly impacting the prospects of recovery, rehabilitation, and quality of life. Furthermore, the risk of insomnia and depression becoming chronic is high in the subacute phase post-stroke. This cross-sectional observational study investigated whether insomnia and depression are related in the subacute phase post-stroke, using validated instruments. Sixty-six outpatient stroke survivors participated. Depression was measured using the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) and insomnia severity with the Insomnia Severity Index (ISI). A multiple linear regression analysis was used to examine the association between the dependent variable post-stroke depression and the independent variables insomnia and pre-stroke depression treatment. Results showed that insomnia (β = 0.48, t = 4.40, p < 0.001) and pre-stroke depression treatment (β = 0.24, t = 2.28, p = 0.026) were both significant predictors of depression. Participants with more insomnia complaints and participants with pre-stroke depression treatment had more depression symptoms post-stroke. Therefore, it is important to be alert in the subacute phase post-stroke of both, insomnia and depression complaints.

BACKGROUND: This short communication explores the interrelationships between depressed mood and sleep disturbances in one-year postpartum period.
METHODS: Utilizing data from the Interaction of Gene and Environment of Depression during PostPartum Cohort (IGEDEPP) involving 3310 French postpartum women, we employed a cross-lagged panel model (CLPM) to analyze the relationships between these two symptoms, across three time points (immediate postpartum [<1 week after delivery], early postpartum [<2 months after delivery], and late postpartum [2 months to 1 years after delivery]).
RESULTS: Depressed mood significantly influences sleep disturbances in late postpartum (β = 0.096, z-value = 7.4; p < 0.001) but not in early postpartum (p-value = 0.9). We found no cross-lagged influence of sleep disturbances on depressed mood in early (p = 0.066) or in late postpartum (p = 0.060). Moreover, depressed mood and sleep disturbances in immediate postpartum are predictive of similar symptoms in the two other postpartum periods (between each of the three periods, p = 0.006 and p < 0.001 for depressed mood, and p = 0.039 and p < 0.001 for sleep disturbances), thus demonstrating the stability of these symptoms over time.
CONCLUSIONS: Although conducted with a prospectively assessed cohort, this study faces limitations due to potential methodological biases.
CONCLUSIONS: This study is a pioneering analysis of mutual causal interactions between depressed mood and sleep disturbances in the postpartum period, highlighting the need for vigilant monitoring, early detection, prevention of worsen outcomes and intervention on these symptoms.

OBJECTIVE: Insomnia is a prevalent sleep disorder among patients undergoing hemodialysis for chronic kidney disease. This study aimed to translate the sleep condition indicator (SCI), an insomnia screening tool based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), into a traditional Chinese version (SCI-TC) and evaluate the reliability and validity of this version for patients undergoing hemodialysis.
METHODS: This cross-sectional study conducted from November 2022 to June 2023 involved 200 patients on hemodialysis (mean age, 65.56 years; 61.5% men). Participants completed a series of questionnaires, with insomnia diagnosed according to DSM-5 criteria as the gold standard. A receiver operating characteristic (ROC) curve analysis was conducted to examine the sensitivity and specificity of the SCI-TC.
RESULTS: According to the DSM-5 criteria, 38% of the participants had insomnia. Cronbach\'s alpha for the SCI-TC was 0.92. The SCI-TC exhibited a good fit as a two-factor model, and its scores were significantly associated with those of the traditional Chinese versions of the Insomnia Severity Index, Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, EuroQol 5-Dimensions scale, and EuroQol Visual Analogue Scale (r =  - 0.94, - 0.53, - 0.38, 0.27, and 0.30, respectively; all p < 0.05). The ROC curve analysis revealed an optimal cutoff of 16 points, with the sensitivity, specificity, and area under curve of 88.2%, 84.7%, and 0.91(95% confidence interval, 0.87-0.95), respectively.
CONCLUSIONS: The SCI-TC demonstrates robust reliability and validity in detecting insomnia among patients undergoing hemodialysis. These findings suggest that health-care providers should considering using the SCI as an easy-to-use tool for the timely detection of insomnia in this population.