Thyroid Function and Sleep Patterns: A Systematic Review.

Hypothyroidism, defined as a low metabolic function of the thyroid gland that results in low thyroid hormone levels, and insomnia, a condition with the inability to sleep, are two distinct conditions with little overlap that have been extensively established. Both conditions have been studied independently in terms of epidemiology, pathophysiology, diagnosis, and management. The exact causal relationship between the two conditions has yet to be elucidated, and a direct underlying pathophysiology has not been pinpointed. To gain further insight into the relationship between hypothyroidism and insomnia, we performed a systematic review to explore this relationship using predetermined guidelines. Out of 59 studies assessed, four studies evaluated the mechanisms of these two potentially comorbid conditions. Our findings suggest that hypothyroidism and insomnia may have a bidirectional relationship, with symptomatic overlap that is tied to increased metabolic comorbidities and hormonal dysregulation. These findings warrant further research to verify these early findings and gain further insight into the relationship between these conditions. A better understanding of the pathophysiology of overlap between these two conditions will help improve diagnosis and target treatment more effectively.

'Let's talk about sleep health' within primary care: a qualitative study of patients' willingness to engage in psychological interventions for insomnia.

BACKGROUND: Cognitive behavioural therapy for insomnia (CBT-I) is recommended as the first-line treatment for insomnia yet remains underutilised in general practice. Understanding patient motivations and barriers to engaging in psychological interventions for insomnia is critical. Theoretical frameworks, such as the theory of planned behaviour, are needed to identify variables related to intentions and behaviour change. AIM: To explore key influences that motivate individuals' intention to engage with psychological interventions for insomnia. DESIGN AND SETTING: Qualitative study consisting of an online survey and interviews with 20 community-dwelling participants with insomnia aged 26-75 years residing in Victoria, Australia. METHOD: Guided by the theory of planned behaviour, reflexive thematic analysis was used to identify factors influencing participants' intention to engage with psychological interventions for insomnia. RESULTS: Participants reported positive attitudes towards psychological interventions for insomnia, stemming from negative beliefs about pharmacological sleep aids and the perceived benefits of a structured and evidence-based intervention. Important others positively influenced participants' intention to engage; however, the GP influence was less consistent and often indirect. Participants believed in the efficacy of psychological interventions, but several barriers hampered their ability to benefit from them. Accessibility was identified as a key facilitator, whereas lack of knowledge and clear referral pathways were the main barriers having an impact on uptake. CONCLUSION: This study highlights key factors influencing patients' intention to engage in psychological interventions for insomnia as well as opportunities for GPs to support uptake and engagement. Routine conversations about sleep health are essential to reduce the burden of untreated insomnia in the community, and the active promotion of evidence-based psychological interventions is needed.

Diagnosing OSA and Insomnia at Home Based Only on an Actigraphy Total Sleep Time and RIP Belts an Algorithm "Nox Body Sleep™".

Purpose: The COVID-19 pandemic has influenced clinical sleep protocols with stricter hospital disinfection requirements. Facing these new rules, we tested if a new artificial intelligence (AI) algorithm: The Nox BodySleep™ (NBS) developed without airflow signals for the analysis of sleep might assess pertinently sleep in patients with Obstructive Sleep Apnea (OSA) and chronic insomnia (CI) as a control group, compared to polysomnography (PSG) manual scoring. Patients-Methods: NBS is a recurrent neural network model that estimates Wake, NREM, and REM states, given features extracted from activity and respiratory inductance plethysmography (RIP) belt signals (Nox A1 PSG). Sleep states from 139 PSG studies (CI N = 72; OSA N = 67) were analyzed by NBS and compared to manually scored PSG using positive percentage agreement, negative percentage agreement, and overall agreement metrics. Similarly, we compared common sleep parameters and OSA severity using sleep states estimated by NBS for each recording and compared to manual scoring using Bland-Altman analysis and intra-class correlation coefficient. Results: For 127,170 sleep epochs, an overall agreement of 83% was reached for Wake, NREM and REM states (92% for REM states in CI patients) between NBS and manually scored PSG. Overall agreement for estimating OSA severity was 100% for moderate-severe OSA and 91% for minimal OSA. The absolute errors of the apnea-hypopnea index (AHI) and total sleep time (TST) were significantly lower for the NBS compared to no scoring of sleep. The intra-class correlation was higher for AHI and significantly higher for TST using the NBS compared to no scoring of sleep. Conclusion: NBS gives sleep states, parameters and AHI with a good positive and negative percentage agreement, compared with manually scored PSG.

[Melatonin for the regulation of sleep and other biological rhythms]. / Melatonin v regulyatsii sna i biologicheskikh ritmov.

Melatonin, as the hormone of the circadian system, plays a major role in regulating physiological functions and facilitating adaptation to environmental changes. Here we provide brief overview of circadian physiology, as related to the use of melatonin as hormone replacement therapy for older individuals with reduced melatonin secretion and melatonin treatment for patients with chronic insomnia or circadian desynchronization. Emphasizing the importance of minimal effective doses, we discuss the use of both immediate and delayed-release formulations, stress the significance of regular administration timing, and advise against exposure to bright light during increase in melatonin levels. Our discussion underscores that the medical guidance is essential for utilizing melatonin-containing preparations in the therapy of chronic insomnia.

[Cognitive behavioral therapy in the treatment of patients with chronic migraine and concomitant chronic insomnia: a prospective, randomized trial]. / Kognitivno-povedencheskaya terapiya pri khronicheskoi migreni i sochetannoi khronicheskoi insomnii: prospektivnoe randomizirovannoe issledovanie.

OBJECTIVE: To evaluate the effectiveness of a multidisciplinary program, including Cognitive behavioral therapy (CBT), in the treatment of patients with chronic migraine (CM) and concomitant chronic insomnia (CI). MATERIAL AND METHODS: The study included 96 patients with CM and CI, average age 35.7±8.6. All patients underwent clinical interviews and testing using clinical and psychological techniques. Patients were randomized into two groups: group 1 received study treatment (an multudisciplinary program including CBT for pain and insomnia, combined with standard treatment for migraine), group 2 received standard treatment for migraine (preventive and acute pharmacotherapy for migraine, recommendations about lifestyle and sleep hygiene). All patients were assessed for clinical and psychological parameters before treatment and at 3, 6, 12 and 18 months follow-up. RESULTS: At 3 month follow-up a statistically significant improvement was observed in group 1: a decrease in the frequency of headaches and the use of painkillers, parameters on the Insomnia Severity Index (ITI), the State-Trait Anxiety Inventory (STAI), the Beck Depression Inventory, and the Migraine Disability Assessment (MIDAS) (p<0.05). At 6, 12 and 18 months follow-up the achieved improvements were maintained. At 3 month follow-up, group 2 showed a statistically significant improvement in only 4 parameters: a decrease in the frequency of headaches and painkiller use, and parameters for ITI and MIDAS. These parameters increased to values that were not statistically significantly different from the parameters before treatment in group 2 at 6 month follow-up. At 3 month follow-up in group 165% of patients achieved clinical effect (CE) according to CM (headache frequency decreased by 50% or more), in group 2 - 40%, which was not statistically significantly different (p>0.001); in group 1, 76% of patients achieved CE according to CI (ITI decreased by 8 points or more), which is statistically significantly more than in group 2 with 45% of patients with CE (p<0.001). At 18 month follow-up, in group 1, 81.5% of patients achieved CE according to CM, which is statistically significantly more than in group 2 with 33% of patients with CE (p<0.001); in group 1, 85% of patients achieved CE according to CI, which is statistically significantly more than in group 2, where 38% of patients had CE (p<0.001). CONCLUSION: High effectiveness of CBT in patients with CM and combined CI was noted.

Clinico-demographic factors associated with the treatment response to cognitive behavioral therapy for insomnia.

BACKGROUND: Cognitive behavioral therapy for insomnia (CBT-I) is among the recommended non-pharmacological treatments for patients with insomnia. While there are multiple reports on the effects of CBT-I treatment, few studies evaluating the factors associated with the treatment response to CBT-I have been reported. The present study aimed to confirm the effects of CBT-I in patients with insomnia and to examine the clinico-demographic factors that can predict the outcomes of CBT-I in these patients. METHODS: Overall, 62 patients were included in the present study. To confirm the effectiveness of CBT-I, we compared the pre- and post-CBT-I therapy values of several sleep parameters. Furthermore, to identify the clinico-demographic factors that could be predictive of the treatment response to CBT-I, we performed generalized linear model (GLM) analysis. RESULTS: The values of several sleep parameters were significantly lower after treatment than at baseline. The results of the GLM analysis revealed that sex and occupation were significantly associated with the treatment response to CBT-I. CONCLUSIONS: The present results suggest that several clinico-demographic factors should be considered in the treatment of patients with insomnia.

The impact of chronic insomnia disorder on menstruation and ovarian reserve in childbearing-age women: A cross-sectional study.

OBJECTIVE: Diminished ovarian reserve (DOR) is a disorder characterized by impaired ovarian function. Sleep disorders are disruptions of the circadian rhythm, which appears to be closely linked to reproductive systems. This study aimed to investigate the impact of poor sleep quality on the ovarian reserve of childbearing-age women. METHODS: A cross-sectional study was conducted in China from June 2021 to March 2023. In total, 102 participants diagnosed with chronic insomnia disorder were included in the study. Questionnaires were administered to assess participants' menstrual patterns, insomnia severity, anxiety, and depression. The anti-Müllerian hormone level and the basal antral follicle count were measured for ovarian reserve evaluation. Correlation analysis and ordinal logistic regression analysis were conducted. RESULTS: The women with insomnia presented high percentages of hypomenorrhea, premenstrual syndrome, and dysmenorrhea (78.4%, 74.5%, and 46.1%, respectively). Severe sleep disorder in the past month was identified as an independent risk factor for hypomenorrhea and premenstrual syndrome (odds ratio [OR], 2.64 and OR, 2.688; p<0.05). The prevalence of DOR among women with insomnia (33.3%) was significantly higher than the average reported in previous studies for young women. Insomnia duration exceeding 1 year was determined to be an independent risk factor for DOR in women aged 36 to 40 years (OR, 4.5; p=0.033). CONCLUSION: This study highlights the association between sleep disorders and menstrual problems. Prolonged poor sleep quality in women aged 36 to 40 years was identified as a significant risk factor for DOR. We should pay more attention to improving sleep quality in order to maintain normal ovarian function.

Clinical effectiveness of internet-based cognitive behavioral therapy for insomnia in routine secondary care: results of a randomized controlled trial.

Introduction: Delivering cognitive behavioral therapy for insomnia over the internet bears the advantage of accessibility and uptake to many patients suffering from chronic insomnia. In the current study, we aimed to investigate the effectiveness of internet-based cognitive behavioral therapy for insomnia (iCBT-I) in routine care. Materials and methods: We conducted a two-arm non-blinded randomized controlled trial with care as usual (CAU) as a control condition. Participants were recruited in a specialized outpatient sleep medicine department. Both arms had access to other healthcare resources, and the intervention group had access to the iCBT-I program for 2 months. The primary outcome was insomnia severity, measured by the Insomnia Severity Index (ISI). Secondary outcomes were fatigue severity, daytime sleepiness, affective symptoms, dysfunctional beliefs and attitudes about sleep, sleep locus of control, sleep hygiene, sleep efficiency (SE), sleep onset latency, wake time after sleep onset (WASO), and total sleep time (TST). Linear mixed models for repeated measures were used to analyze the longitudinal data at baseline, post-treatment, and after 3 months of follow-up. The trial was registered at www.clinicaltrials.gov (NCT04300218 21.04.2020). Results: The results showed a significant time*group interaction effect (p = 0.001) at post-treatment with between-group effect size (d = 0.51), indicating that the ISI decreased by a score of 3.8-fold in the iCBT-I group than in the CAU group. There was no significant difference in ISI between groups at follow-up. Regarding secondary outcomes, dysfunctional beliefs about sleep, SE, and WASO decreased significantly during treatment in the intervention group with between-group effect sizes d = 0.35, d = -0.51, and d = 0.47, respectively. At the follow-up, between-group effects on DBAS and SE remained significant: d = 0.36 and d = -0.63, respectively. For TST, we observed a significant time*group effect of d = -0.38 only after follow-up. Conclusion: Our findings suggest that iCBT-I has a significant effect on insomnia severity at post-treatment compared to CAU. iCBT-I further improved dysfunctional beliefs about sleep and improved subjective sleep characteristics, such as SE, WASO, and TST during 3 months after treatment. Clinical trial registration: www.clinicaltrials.gov, identifier (NCT04300218).

Daridorexant for patients with chronic insomnia disorder: number needed to treat, number needed to harm, and likelihood to be helped or harmed.

OBJECTIVES: Appraise the evidence for daridorexant 50 mg and 25 mg versus placebo when treating chronic insomnia disorder in terms of number needed to treat (NNT), number needed to harm (NNH), and likelihood to be helped or harmed (LHH). METHODS: NNT, NNH, and LHH were calculated from a 3-month pivotal Phase 3 study (N = 930; randomized 1:1:1 to daridorexant 50 mg, daridorexant 25 mg, or placebo once nightly). Wakefulness after sleep onset, latency to persistent sleep, self-reported total sleep time, Insomnia Daytime Symptoms and Impacts Questionnaire (IDSIQ), and Insomnia Severity Index were used for the NNT efficacy analysis. NNH safety analysis was performed using rates of adverse events (AEs) occurring in >1% of the participants in any arm. LHH was assessed for all NNT estimates, contrasting them with NNH estimates for somnolence, headache, and fatigue AEs. RESULTS: NNT estimates for daridorexant 50 mg versus placebo were <10 for clinically meaningful thresholds across all outcomes. NNT estimates for daridorexant 25 mg versus placebo were not as robust as those observed for daridorexant 50 mg, with many values exceeding 10. NNH estimates for daridorexant 50 mg and 25 mg versus placebo did not show a statistically significant treatment difference except for falls, where NNH was negative for the daridorexant 50 mg group (-44 [95% CI -328; -21]; rate of falls was greater with placebo than for daridorexant 50 mg). All LHH ratios at Months 1 and 3 were >1 (except for daridorexant 25 mg for the IDSIQ alert/cognition domain), indicating that patients were more likely to respond to daridorexant 50 mg and 25 mg than to experience an AE of somnolence, headache, or fatigue. CONCLUSION: Daridorexant 50 mg and 25 mg have a favorable benefit-risk ratio over 3 months. Daridorexant 50 mg demonstrated more robust (lower) NNT estimates versus placebo than daridorexant 25 mg.

Daridorexant, a dual orexin receptor antagonist, is a new treatment for chronic insomnia disorder. This analysis examined the effect and safety of daridorexant 50 and 25 mg, using data from a 3-month Phase 3 study (NCT03545191) to measure 'number needed to treat' (NNT) and 'number needed to harm' (NNH).NNT estimates how many patients need to be treated over a specific period to see one more beneficial response. Estimates versus placebo <10 indicate an effective treatment. Daridorexant 50 mg estimates were <10 for all objective and subjective measurements of insomnia assessed in this analysis, including evaluation of daytime functioning. NNT estimates for daridorexant 25 mg versus placebo were not as robust as daridorexant 50 mg, with values >10.NNH is calculated in the same way as NNT but estimates harmful outcomes rather than benefits. Estimates versus placebo >10 means the treatment is reasonably well tolerated.Using NNT and NNH, the 'likelihood to be helped or harmed' (LHH) ratio was calculated, determining how more likely a patient is to benefit versus experiencing harm from a treatment (LHH of >1 denotes a positive benefit­risk ratio). Both daridorexant doses had a favorable benefit­risk ratio over 3 months with LHH > 1.This analysis supports daridorexant 50 mg as the optimal dose to treat insomnia in adults, offering improved effectiveness compared with daridorexant 25 mg, with a similarly good safety profile.

Knowledge mapping of chronic insomnia: a bibliometric analysis (2000-2023).

BACKGROUND: Recently, significant scientific research breakthroughs have been witnessed in the treatment of chronic insomnia. However, it seems that there is currently no bibliometric analysis of this. Therefore, we hope to comprehensively review and analyze the scholarly system and research focus in the field of chronic insomnia treatment through bibliometric methods. METHODS: Between 2000 and 2023, we explored various papers in relation to the treatment of chronic insomnia in the Web of Science Core Collection(WOSCC) database. Subsequently, the collected papers were subjected to bibliometric analysis utilizing CiteSpace, VOSviewer, and the "bibliometric" package in R language. RESULTS: With China and the United States(USA) among them, a total of 2937 papers were published across 49 countries. Publications related to the treatment of chronic insomnia were increasing year by year. The Laval University, Washington University, Pittsburgh University, and Stanford University were key research institutions. The journal Sleep was widely popular in the field and was also one of the most cited journals. These papers came from 148 authors, with Morin, Charles M., Roth, Thomas, Espie, Colin A., Harvey, Allison G., and Buysse, Daniel J. publishing the most papers and Morin, cm being co-cited the most. The treatment process of chronic insomnia can be divided into three main stages: drug intervention, diseases related to chronic insomnia, and cognitive behavioral therapy and mental health. Keywords such as "children and adolescents", "novel coronavirus pneumonia" (COVID-19), "mental health" and "heart failure" have become the focus of current research. CONCLUSIONS: We carried out a detailed bibliometric review of the development trends and research results of chronic insomnia research through this study for the first time. The information it provides reveals recent research hotspots and cutting-edge issues, providing valuable reference materials for researchers focusing on the treatment of chronic insomnia.

Prevalence of major depressive disorder and post-traumatic stress disorder among first-time sleep center attendees.

BACKGROUND: Sleep disorders and psychiatric disorders stand in a bidirectional relationship. Sleep complaints are prominent in populations with psychiatric disorders, especially amongst people with major depressive disorder (MDD) and post-traumatic stress disorder (PTSD). Consultations at sleep clinics offer opportunities to screen psychiatric disorders and to propose primary psychiatric care. METHODS: This descriptive study was conducted on 755 patients making their first visit to sleep clinic, with 574 seeking consultation for suspected obstructive sleep apnoea-hypopnoea syndrome (OSAHS), 139 for complaints of insomnia, and 42 for complaints of hypersomnia. The results of 387 screening scales for MDD (BDI-II) and 403 for TSPT (PCL-5) were compared according to the reason given for the consultation. RESULTS: In the whole group, 12.1 % of patients presented a positive MDD screening and 4.9 % for PTSD. Among patients presenting with insomnia, 19.8 % had a positive screening for MDD, as compared to 9.3 % in patients presenting with suspected OSAHS (p = 0.02). Regarding PTSD, 9.7 % of patients seeking consultation because of insomnia had a positive screening, compared to 2.9 % among patients with suspected OSAHS (p = 0.03). Among patients with a positive screening for MDD, 40.5 % were not receiving antidepressant or mood stabilizer treatment. CONCLUSION: Positive screening for MDD and PTSD are frequent in patients who attend sleep centers, especially amongst those presenting with insomnia. Nearly half of the patients with positive screening for MDD or PTSD were not receiving a dedicated pharmacological treatment. These figures emphasize systematic screening for psychiatric disorders in sleep clinics.

Acupuncture for reducing the south to reinforce the north on executive function and sleep structure in patients with chronic insomnia disorder of heart-kidney disharmony. / æ³»å—è¡¥åŒ—æ³•é’ˆåˆºå¯¹å¿ƒè‚¾ä¸äº¤åž‹æ ¢æ€§å¤±çœ éšœç¢æ‚£è€ æ‰§è¡ŒåŠŸèƒ½åŠç¡çœ ç»“æž„çš„å½±å“.

OBJECTIVES: To observe the efficacy of acupuncture for reducing the south to reinforce the north on executive function, sleep structure and sleep quality in patients with chronic insomnia disorder of heart-kidney disharmony. METHODS: A total of 100 patients with chronic insomnia disorder of heart-kidney disharmony were randomized into an acupuncture group (50 cases, 1 case dropped out) and a western medication group (50 cases, 2 cases dropped out). Acupuncture for reducing the south to reinforce the north was applied at Baihui (GV 20) and bilateral Shenmen (HT 7), Sanyinjiao (SP 6), Shenmai (BL 62), Zhaohai (KI 6), Xinshu (BL 15), Shenshu (BL 23) in the acupuncture group, once a day, 5 days a week. Lorazepam tablet was given orally in the western medication group, 0.5-1 mg a time, once a day. Both groups were treated for 4 weeks. The Stroop color-word test (SCWT) indexes (the time consuming and the correct number of card A, B, C and the Stroop interference effect [SIE]), sleep structure indexes (total sleep time [TST], sleep latency [SL], wake after sleep onset [WASO], sleep efficiency [SE], non-rapid eye movement period 1 [N1], non-rapid eye movement period 2 [N2], non-rapid eye movement period 3 [N3], rapid eye movement period [REM]) and Pittsburgh sleep quality index (PSQI) score were observed before and after treatment in the two groups. RESULTS: After treatment, the time consuming of card B and C, the time consuming and the correct number of SIE, SL, WASO, N1, N2, as well as the sub-item scores and total score of PSQI were decreased (P<0.05, P<0.01), the correct number of card A, B and C, TST, SE, N3 and REM were increased (P<0.01) compared with those before treatment in the acupuncture group; the time consuming of card C and SIE, the correct number of card A and SIE, TST, SE, REM were increased (P<0.05, P<0.01), SL, WASO, N1, as well as the sub-item scores of sleep quality, sleep latency, sleep duration, sleep efficiency, daytime function and total score of PSQI were decreased (P<0.01) compared with those before treatment in the western medication group. After treatment, in the acupuncture group, the time consuming of card C, the time consuming and the correct number of SIE, N1, N2, as well as the sub-item scores of sleep quality, sleep dysfunction, daytime function and total score of PSQI were lower than those in the western medication group (P<0.01), the correct number of card B and C, N3, REM were higher than those in the western medication group (P<0.01). CONCLUSIONS: Acupuncture for reducing the south to reinforce the north can improve the executive function of patients with chronic insomnia disorder of heart-kidney disharmony, adjust the sleep structure, and improve the night sleep quality and daytime body function.

Assessment and management of chronic insomnia disorder: an algorithm for primary care physicians.

BACKGROUND: Primary care physicians often lack resources and training to correctly diagnose and manage chronic insomnia disorder. Tools supporting chronic insomnia diagnosis and management could fill this critical gap. A survey was conducted to understand insomnia disorder diagnosis and treatment practices among primary care physicians, and to evaluate a diagnosis and treatment algorithm on its use, to identify ways to optimize it specifically for these providers. METHODS: A panel of experts developed an algorithm for diagnosing and treating chronic insomnia disorder, based on current guidelines and experience in clinical practice. An online survey was conducted with primary care physicians from France, Germany, Italy, Spain, and the United Kingdom, who treat chronic insomnia patients, between January and February 2023. A sub-sample of participants provided open-ended feedback on the algorithm and gave suggestions for improvements. RESULTS: Overall, 106 primary care physicians completed the survey. Half (52%, 55/106) reported they did not regularly screen for insomnia and half (51%, 54/106) felt they did not have enough time to address patients' needs in relation to insomnia or trouble sleeping. The majority (87%,92/106) agreed the algorithm would help diagnose chronic insomnia patients and 82% (87/106) agreed the algorithm would help improve their clinical practice in relation to managing chronic insomnia. Suggestions for improvements were making the algorithm easier to read and use. CONCLUSION: The algorithm developed for, and tested by, primary care physicians to diagnose and treat chronic insomnia disorder may offer significant benefits to providers and their patients through ensuring standardization of insomnia diagnosis and management.

Markers of intestinal barrier damage in patients with chronic insomnia disorder.

Objective: Insomnia disorder stands out as one of the prevalent clinical sleep and psychiatric disorders. Prior research has unequivocally demonstrated variations in the diversity and abundance of gut microbiota among individuals with insomnia disorder. These alterations may play a direct or indirect role in the onset and progression of insomnia disorder by compromising the integrity of the intestinal barrier. This study aims to evaluate the impairment of the intestinal barrier in individuals with insomnia disorder by scrutinizing the serum functionality of this barrier. Materials and methods: 45 patients with chronic insomnia disorder and 30 matched healthy volunteers were meticulously selected based on inclusion criteria. ELISA technology was employed to measure serum levels of diamine oxidase (DAO), D-lactic acid (D-LA), intestinal fatty acid binding protein (I-FABP), and endothelin (ET). Spearman correlation analysis was used to explore the relationship between intestinal mucosal markers and clinical characteristics. Data were analyzed using SPSS 26.0. Results: Compared to the healthy control group, the insomnia disorder group exhibited significantly elevated scores on subjective mood and sleep scales (GAD-7, PHQ-9, HAMA, HAMD, PSQI, and ISI) (P < 0.05). Overnight PSG indicated a notable increase in bed time, total wake time, sleep onset latency, and wake after sleep onset in individuals with insomnia disorder. Additionally, there was a decrease in sleep efficiency and alterations in sleep structure (increased proportion of N1 and N3 stages, prolonged N1 stage) (P < 0.05). The chronic insomnia disorder group displayed significantly reduced concentrations of serum DAO, D-LA, I-FABP, and ET (P < 0.05). Furthermore, significant positive correlations were identified between intestinal epithelial barrier markers and sleep efficiency, while negative correlations were found with wake after sleep onset, total wake time, PSQI, HAMA, and HAMD. Additionally, D-LA levels were significantly positively correlated with ET concentrations. Conclusion: Individuals with chronic insomnia disorder manifest disruptions in sleep structure, heightened susceptibility to anxiety and depressive moods, and impaired intestinal barrier function. These findings suggest that the occurrence and development of insomnia disorder may be linked to the impairment of the intestinal barrier.

Relationships between rumination and different types of rapid eye movement sleep in patients with chronic insomnia disorder.

BACKGROUND AND OBJECTIVE: Rumination, a common factor of chronic insomnia disorder (CID) caused by cognitive-emotional arousal, is associated with an increased amount of rapid eye movement (REM) sleep. However, the specific subtypes, such as phasic REM and tonic REM, that contribute to the increased REM sleep have not been reported. This study aimed to determine the association between rumination and different REM sleep subtypes in patients with CID. METHODS: This study enrolled 35 patients with CID and 27 age- and sex-matched healthy controls. The Immersion-Rumination Questionnaire evaluated participants' rumination, and the Insomnia Severity Index was used to assess insomnia severity. Finally, polysomnography was used to monitor objective sleep quality and quantification of different types of REM. RESULTS: The CID patients had higher rumination scores than the healthy controls. They had a shorter REM sleep duration, less phasic REM, a lower percentage of phasic REM time, and a higher percentage of tonic REM time. Spectral analysis revealed that the patients affected by insomnia had higher ß power during REM sleep, higher ß and σ power during phasic REM sleep, and higher ß, and γ power during tonic REM sleep. Partial correlation analysis showed that rumination in the CID patients correlated negatively with the duration of phasic REM sleep. Additionally, rumination correlated negatively with δ power in REM sleep and positively with ß power in REM sleep, tonic REM sleep, phasic REM sleep, N3and N2 sleep in the patients with CID. CONCLUSION: The CID patients had stronger rumination, reduced total and phasic REM sleep, and the stronger rumination was, the shorter phasic REM was and the higher fast (ß) wave power in REM sleep.

Changed nocturnal levels of stress-related hormones couple with sleep-wake states in the patients with chronic insomnia disorder: A clinical pilot study.

OBJECTIVES: To explore the relationship between nocturnal levels of stress-related hormones and different sleep-wake states in chronic insomnia disorder (CID) patients. METHODS: Thirty-three CID patients and 34 good sleepers were enrolled and completed assessment of sleep log, Pittsburgh Sleep Quality Index and Insomnia Severity Index. During a-overnight polysomnography monitoring, the patients' vein bleeds were continually collected at different time points (pre-sleep, deep-sleep, 5-min or 30-min waking, and morning waking-up). The control subjects' bleeds were collected only at 22:00 and morning waking-up. The serum hormones were detected using enzyme-linked immunosorbent assay. RESULTS: Compared with at pre-sleep, the level of cortisol was significantly higher at morning waking-up respectively in two-group subjects (Ps < 0.001), with insignificant inter-group differences in cortisol, corticotropin releasing hormone and copeptin at the two time-points. In the patients, the nocturnal secretion curves of three hormones were similar, with the highest concentration at morning waking-up, followed by 30-min waking, 5-min waking, pre-sleep, and deep-sleep. The patients' cortisol (Z = 79.192, P < 0.001) and copeptin (Z = 12.333, P = 0.015) levels were statistically different at different time-points, with higher cortisol at morning waking-up relative to deep-sleep, pre-sleep and 5-min waking (Ps < 0.05), and at 30-min waking relative to deep-sleep and pre-sleep (Ps < 0.05), and higher copeptin at morning waking-up relative to deep-sleep (P < 0.05). CONCLUSIONS: In CID, the nocturnal wakes were instantaneously accompanied by high level, and deep sleep was accompanied by the lowest levels, of stress-related hormones, especially in cortisol, supporting the insomniac hypothesis of increased nocturnal pulse-release of cortisol.

Electroencephalography connectome changes in chronic insomnia disorder are correlated with neurochemical signatures.

STUDY OBJECTIVES: This study aimed to investigate the alterations in resting-state electroencephalography (EEG) global brain connectivity (GBC) in patients with chronic insomnia disorder (CID) and to explore the correlation between macroscale connectomic variances and microscale neurotransmitter distributions. METHODS: We acquired 64-channel EEG from 35 female CID patients and 34 healthy females. EEG signals were source-localized using individual brain anatomy and orthogonalized to mitigate volume conduction. Correlation coefficients between band-limited source-space power envelopes of the DK 68 atlas were computed and averaged across regions to determine specific GBC values. A support vector machine (SVM) classifier utilizing GBC features was employed to differentiate CID patients from controls. We further used Neurosynth and a 3D atlas of neurotransmitter receptors/transporters to assess the cognitive functions and neurotransmitter landscape associated with CID cortical abnormality maps, respectively. RESULTS: CID patients exhibited elevated GBC within the medial prefrontal cortex and limbic cortex, particularly at the gamma carrier frequency, compared to controls (pFDR < .05). GBC patterns were found to effectively distinguish CID patients from controls with a precision of 90.8% in the SVM model. The cortical abnormality maps were significantly correlated with meta-analytic terms like "cognitive control" and "emotion regulation." Notably, GBC patterns were associated with neurotransmitter profiles (pspin < .05), with neurotransmitter systems such as norepinephrine, dopamine, and serotonin making significant contributions. CONCLUSIONS: This work characterizes the EEG connectomic profile of CID, facilitating the cost-effective clinical translation of EEG-derived markers. Additionally, the linkage between GBC patterns and neurotransmitter distribution offers promising avenues for developing targeted treatment strategies for CID.

Monitoring differences in the function of the autonomic nervous system in patients with chronic insomnia using a wearable device.

STUDY OBJECTIVES: to characterize possible differences in the function of the ANS in patients with chronic insomnia compared to a control group, using a wearable device, in order to determine whether those findings allow diagnosing this medical entity. METHODS: Thirty-two patients with chronic insomnia and nineteen patients without any sleep disorder, as a control group, were recruited prospectively. Both groups of patients underwent an in-patient night with simultaneous polysomnography and wearable device recording Empatica E4 a diverse array of physiological signals, including electrodermal activity, temperature, accelerometry, and photoplethysmography, providing a comprehensive resource for in-depth sleep analysis. RESULTS: In polysomnography, patients suffering from insomnia showed a significant decrease in sleep efficiency and total sleep time, prolonged sleep latency, and increased wakefulness after sleep onset. Accelerometry results were statistically significant differences in the three axis (x, y, z) just in stage N3, no differences were observed between both groups in REM sleep. The lowest temperature was reached in REM sleep in both groups. Peripheral temperature did not decrease during the different sleep phases compared to wakefulness in insomnia, unlike in the control group. Heart rate was higher in patients with insomnia than in controls during wakefulness and sleep stage. Heart rate variability was lower in stage N3 and higher in REM sleep compared to wakefulness in both groups. Sweating was significantly higher in patients with insomnia compared to the control group, as indicated by Skin Conductance Variability values and Sudomotor Nerve. CONCLUSIONS: Our study suggests that patients with insomnia have increased sympathetic activity during sleep, showing a higher heart rate. Temperature and sweating significantly influence the different sleep phases.

Glymphatic system dysfunction in middle-aged and elderly chronic insomnia patients with cognitive impairment evidenced by diffusion tensor imaging along the perivascular space (DTI-ALPS).

BACKGROUND: Chronic insomnia impairs the glymphatic system and may lead to cognitive impairment and dementia in elderly population. The diffusion tensor image analysis along the perivascular space (DTI-ALPS) has been proposed as a non-invasive method to measure the activity of human brain glymphatic. We aim to explore whether glymphatic function is impaired in middle-aged and elderly chronic insomnia individuals and to identify the relationships between glymphatic dysfunction and cognitive impairment. METHODS: A total of 33 chronic insomnia patients (57.36 ± 5.44 years, 30 females) and 20 age- and sex-matched healthy controls (57.95 ± 5.78 years, 16 females) were prospectively enrolled between May 2022 and January 2023. All participants completed MRI screening, cognition and sleep assessments, and DTI-ALPS index analysis. RESULTS: Our findings revealed that the DTI-ALPS index was significantly difference among the chronic insomnia patients with impaired cognition group (1.32 ± 0.14), with normal cognition group (1.46 ± 0.09), and healthy controls (1.61 ± 0.16) (p = 0.0012, p < 0.0001, p = 0.0008, respectively). Mini-Mental State Examination (MMSE) scores of chronic insomnia patients with cognitive impairment were positively correlated with the DTI-ALPS index (Partial correlation analyses after correction for age, sex, education level and duration of chronic insomnia: r = 0.78, p = 0.002). DTI-ALPS had moderate accuracy in distinguishing chronic insomnia patients with cognitive impairment from those with normal cognition. DATA CONCLUSION: The glymphatic system dysfunction is involved in chronic insomnia among middle-aged and elderly individuals, and it has been found to be correlated with cognitive decline.

The natural history of insomnia: evaluating illness severity from acute to chronic insomnia; is the first the worst?

STUDY OBJECTIVES: The 3P and 4P models represent illness severity over the course of insomnia disorder. The 3P model suggests that illness severity is worst during acute onset. The 4P model suggests that illness severity crescendos with chronicity. The present analysis from an archival dataset assesses illness severity with new onset illness (i.e. from good sleep [GS] to acute insomnia [AI] to chronic insomnia [CI]). Illness severity is quantified in terms of total wake time (TWT). METHODS: GSs (N = 934) were followed up to 1 year with digital sleep diaries, and classified as GS, AI, or CI. Data for CIs were anchored to the first of 14 days with insomnia so that day-to-day TWT was represented prior to and following AI onset. A similar graphic (+/-acute onset) was constructed for number of days per week with insomnia. GS data were temporally matched to CI data. Segmented linear mixed regression models were applied to examine the change in slopes in the AI-to-CI period compared to GS-to-AI period. RESULTS: Twenty-three individuals transitioned to AI and then CI. Average TWT rose during the first 2 weeks of AI onset (b = 1.8, SE = 0.57, p = 0.001) and was then stable for 3 months (b = -0.02, SE = 0.04, p = 0.53). Average number of affected days was stable from AI to CI (b = 0.0005, SE = 0.002, p = 0.81). That is, while there was week-to-week variability in the number of days affected, no linear trend was evident. CONCLUSIONS: In our sample of CIs, primarily with middle insomnia, the average severity and number of affected days were worst with the onset of AI (worst is first) and stable thereafter.